Relevant bibliographies by topics / Autonomous learning

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Autonomous learning'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Autonomous learning.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Autonomous learning"

1

Sun, Qiuyun. "Cultivation Strategy of Higher Vocational Students' Autonomous Learning Ability under the Background of "Internet +"." Advances in Education, Humanities and Social Science Research 9, no. 1 (2024): 238. http://dx.doi.org/10.56028/aehssr.9.1.238.2024.

Full text
Abstract:
Autonomous learning ability is an essential ability for outstanding talents. The future society under the background of the "Internet +" is a learning society that requires everyone to have the ability to learn autonomously. The learning status, career development, and social environment of higher vocational students require them to have a certain degree of autonomous learning ability. In the process of education, emphasis should be placed on cultivating students' autonomous learning ability, enabling them to develop good learning habits, master correct learning methods, and improve effective
APA, Harvard, Vancouver, ISO, and other styles
2

Liaq, Mudassar, and Yungcheol Byun. "Autonomous UAV Navigation Using Reinforcement Learning." International Journal of Machine Learning and Computing 9, no. 6 (2019): 756–61. http://dx.doi.org/10.18178/ijmlc.2019.9.6.869.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Maslakhatin, Maslakhatin, and Ayong Lianawati. "The Implementation of Autonomous Learning in English Pronunciation of Guidance and Counseling Department’s Students." JET ADI BUANA 2, no. 2 (2017): 115–24. http://dx.doi.org/10.36456/jet.v2.n2.2017.1052.

Full text
Abstract:
Most Indonesian students have difficulties in learning English pronunciation. Autonomous learning can be as an alternative strategy to help the students in learning pronunciation independently by utilizing Breakingnewsenglish.com. This study aimed to analyze the implementation of autonomous learning in learning pronunciation, the students’ response toward autonomous learning, and the impact of autonomous learning on the students’ pronunciation achievement. This study used descriptive qualitative method and the subject was Guidance and Counseling department students. The data was collected
APA, Harvard, Vancouver, ISO, and other styles
4

Ababo, A. B., and A. K. Animaw. "Students’ Practices and Perceptions of Autonomous Language Learning: the Case of Addis Ababa Science and Technology University." Язык и текст 10, no. 2 (2023): 115–28. http://dx.doi.org/10.17759/langt.2023100210.

Full text
Abstract:
<p>This study aimed to investigate freshmen students' practices and perceptions of autonomous English language learning. The study investigates the actual language learning activities students carry out inside and outside the classroom with a view to determining their perceptions towards autonomous language learning, their readiness to take responsibility for their learning, and their motivation level of learning English autonomously. 313 students participated in the survey questionnaire where classroom observations and FGDs were used for triangulation. The obtained quantitative data fro
APA, Harvard, Vancouver, ISO, and other styles
5

Yang, Liangjun. "Autonomous Driving Control Strategy Based on Deep Reinforcement Learning." Applied and Computational Engineering 128, no. 1 (2025): 79–85. https://doi.org/10.54254/2755-2721/2025.20209.

Full text
Abstract:
This paper discusses an autonomous driving control strategy based on Deep Reinforcement Learning (DRL), which aims to improve the decision-making ability of autonomous driving system in complex traffic environments. Deep reinforcement learning has a wide range of applications in many fields, such as robotics and medicine. Autonomous driving has emerged as a significant research focus in recent years. By combining deep learning and reinforcement learning, the model is able to autonomously learn and optimize driving behavior under dynamically changing road conditions. The DRL-based control strat
APA, Harvard, Vancouver, ISO, and other styles
6

Heide, Nina Felicitas, and Janko Petereit. "Machine learning for the perception of autonomous construction machinery." at - Automatisierungstechnik 71, no. 3 (2023): 219–32. http://dx.doi.org/10.1515/auto-2022-0054.

Full text
Abstract:
Abstract Robotic systems require holistic capabilities to sense, perceive, and act autonomously within their application environment. A safe and trustworthy autonomous operation is essential, especially in hazardous environments and critical applications like autonomous construction machinery for the decontamination of landfill sites. This article presents an enhanced combination of machine learning (ML) methods with classic artificial intelligence (AI) methods and customized validation methods to ensure highly reliable and accurate sensing and perception of the environment for autonomous cons
APA, Harvard, Vancouver, ISO, and other styles
7

Masouleh, Nima Shakouri, and Razieh Bahraminezhad Jooneghani. "Autonomous learning: A teacher-less learning!" Procedia - Social and Behavioral Sciences 55 (October 2012): 835–42. http://dx.doi.org/10.1016/j.sbspro.2012.09.570.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Ma, XiaoRui. "Influence Study of Learners’ Independent Learning Ability on Learning Performance in Online Learning." International Journal of Emerging Technologies in Learning (iJET) 17, no. 09 (2022): 201–13. http://dx.doi.org/10.3991/ijet.v17i09.30925.

Full text
Abstract:
In this paper, questionnaires regarding the influence of learners’ autonomous learning ability on learning performance in online learning were designed, and the mediating role played by deep learning orientation in the effect of autonomous learning ability on learning performance was analyzed. The results revealed that the overall Cronbach’s α coefficient of the questionnaire was 0.884, the KMO value was 0.817, and the corresponding P value was 0.000, manifesting the good reliability and validity of this questionnaire. The learning performance could be obviously influenced by four aspects of a
APA, Harvard, Vancouver, ISO, and other styles
9

Marsevani, Maya. "LEARNERS’ PERCEPTION AND PRACTICES ON AUTONOMOUS LANGUAGE LEARNING IN EFL SETTINGS." International Journal of Language and Literature 5, no. 1 (2021): 54. http://dx.doi.org/10.23887/ijll.v5i1.32598.

Full text
Abstract:
This research was aimed to investigate learners’ perception and practices of understanding teachers’ teaching objectives and requirements related to autonomous language learning, setting up their objectives and study plans to autonomous language learning, and find out learners perceive in learning English autonomously. To gain a deep understanding and utilizing the objectives, the researcher employed descriptive qualitative research. The research findings were extracted through both an online questionnaire and interview. Some constraints were reported in this research, but more positive respon
APA, Harvard, Vancouver, ISO, and other styles
10

R, Ragıp BAŞBAĞI, and YILMAZ Nagehan. "Autonomous foreign language learning." Journal of Languages and Culture 6, no. 8 (2015): 71–79. http://dx.doi.org/10.5897/jlc2015.0338.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Autonomous learning"

1

Ivanov, Yuri A. 1967. "State discovery for autonomous learning." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/8324.

Full text
Abstract:
Thesis (Ph. D.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2002.<br>Includes bibliographical references (p. 163-171).<br>This thesis is devoted to the study of algorithms for early perceptual learning for an autonomous agent in the presence of feedback. In the framework of associative perceptual learning with indirect supervision, three learning techniques are examined in detail: * short-term on-line memory-based model learning; * long-term on-line distribution-based statistical estimation; * mixed on- and off-line continuou
APA, Harvard, Vancouver, ISO, and other styles
2

Lai, Fei Long. "Autonomy and teacher learning : developing autonomous teacher learning." Thesis, University of Bristol, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.409600.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Marvel, Jeremy Alan. "Autonomous Learning for Robotic Assembly Applications." Cleveland, Ohio : Case Western Reserve University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=case1268187684.

Full text
Abstract:
Thesis (Doctor of Philosophy)--Case Western Reserve University, 2010<br>Department of EECS - Computer Engineering Title from PDF (viewed on 2010-05-25) Includes abstract Includes bibliographical references and appendices Available online via the OhioLINK ETD Center
APA, Harvard, Vancouver, ISO, and other styles
4

Gómez, Betancur Gabriel J. "Adaptive learning mechanisms for autonomous robots /." Zürich, 2007. http://opac.nebis.ch/cgi-bin/showAbstract.pl?sys=000253587.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Strömgren, Oliver. "Deep Learning for Autonomous Collision Avoidance." Thesis, Linköpings universitet, Datorseende, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-147693.

Full text
Abstract:
Deep learning has been rapidly growing in recent years obtaining excellent results for many computer vision applications, such as image classification and object detection. One aspect for the increased popularity of deep learning is that it mitigates the need for hand-crafted features. This thesis work investigates deep learning as a methodology to solve the problem of autonomous collision avoidance for a small robotic car. To accomplish this, transfer learning is used with the VGG16 deep network pre-trained on ImageNet dataset. A dataset has been collected and then used to fine-tune and valid
APA, Harvard, Vancouver, ISO, and other styles
6

Tambouratzis, George D. "Autonomous learning in logic neural networks." Thesis, Brunel University, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.334608.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Beale, Dan. "Autonomous visual learning for robotic systems." Thesis, University of Bath, 2012. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.558886.

Full text
Abstract:
This thesis investigates the problem of visual learning using a robotic platform. Given a set of objects the robots task is to autonomously manipulate, observe, and learn. This allows the robot to recognise objects in a novel scene and pose, or separate them into distinct visual categories. The main focus of the work is in autonomously acquiring object models using robotic manipulation. Autonomous learning is important for robotic systems. In the context of vision, it allows a robot to adapt to new and uncertain environments, updating its internal model of the world. It also reduces the amount
APA, Harvard, Vancouver, ISO, and other styles
8

Zeltner, Felix. "Autonomous Terrain Classification Through Unsupervised Learning." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-60893.

Full text
Abstract:
A key component of autonomous outdoor navigation in unstructured environments is the classification of terrain. Recent development in the area of machine learning show promising results in the task of scene segmentation but are limited by the labels used during their supervised training. In this work, we present and evaluate a flexible strategy for terrain classification based on three components: A deep convolutional neural network trained on colour, depth and infrared data which provides feature vectors for image segmentation, a set of exchangeable segmentation engines that operate in this f
APA, Harvard, Vancouver, ISO, and other styles
9

Roberts, Gary Allen. "Classifier systems for situated autonomous learning." Thesis, University of Edinburgh, 1991. http://hdl.handle.net/1842/20146.

Full text
Abstract:
The ability to learn from experience is a key aspect of intelligence. Incorporating this ability into a computer is a formidable problem. Genetic algorithms coupled to learning classifier systems are powerful tools for tackling this task. While genetic algorithms can be shown to be near optimal solutions for the search task they perform, no similar proof exists for classifier systems. My research investigated two aspects of classifier systems, classifier selection and credit assignment. Explicit world models, look ahead and incremental planning are incorporated into the classifier system frame
APA, Harvard, Vancouver, ISO, and other styles
10

Leung, W. H. "Does project-based learning change learners' attitudes towards autonomous learning?" Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B31650491.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Autonomous learning"

1

Angelov, Plamen. Autonomous Learning Systems. John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781118481769.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Chen, Joy Iong-Zong, Haoxiang Wang, Ke-Lin Du, and V. Suma, eds. Machine Learning and Autonomous Systems. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7996-4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Nath, Vishnu, and Stephen E. Levinson. Autonomous Robotics and Deep Learning. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05603-6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Ellingson, Jill E., and Raymond A. Noe, eds. Autonomous Learning in the Workplace. Routledge, 2017. http://dx.doi.org/10.4324/9781315674131.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Habeshaw, Trevor. Autonomous independent learning: A workshop. [s.n.], 1989.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Tambouratzis, George D. Autonomous learning in logic neural networks. Brunel University, 1993.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Kanerva, Pentti. The organization of an autonomous learning system. Research Institute for Advanced Computer Science, NASA Ames Research Center, 1988.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Blubaugh, David Allen, Steven D. Harbour, Benjamin Sears, and Michael J. Findler. Intelligent Autonomous Drones with Cognitive Deep Learning. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-6803-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Roberts, Mike. Skills for self-managed learning: Autonomous learning by research projects. Education Now Publishing Co-operative, 1994.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Stewart, Melrose. Autonomous learning in a professional higher education programme. Universityof Birmingham, 1991.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Autonomous learning"

1

Paluszek, Michael, and Stephanie Thomas. "Autonomous Driving." In MATLAB Machine Learning. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-2250-8_12.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Mercado, Leonardo A. "Fostering Autonomous Learning." In Technology for the Language Classroom. Macmillan Education UK, 2017. http://dx.doi.org/10.1057/978-1-137-49785-7_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Petrik, Marek, and Shlomo Zilberstein. "Learning Feature-Based Heuristic Functions." In Autonomous Search. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21434-9_11.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Franz, Matthias O., Bernhard Schölkopf, Hanspeter A. Mallot, and Heinrich H. Bülthoff. "Learning View Graphs for Robot Navigation." In Autonomous Agents. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5735-7_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Epstein, Susan L., and Smiljana Petrovic. "Learning a Mixture of Search Heuristics." In Autonomous Search. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21434-9_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Nath, Vishnu, and Stephen E. Levinson. "Machine Learning." In Autonomous Robotics and Deep Learning. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05603-6_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Vasconcellos Vargas, Danilo. "Learning Systems Under Attack—Adversarial Attacks, Defenses and Beyond." In Autonomous Vehicles. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9255-3_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Battiti, Roberto, and Paolo Campigotto. "An Investigation of Reinforcement Learning for Reactive Search Optimization." In Autonomous Search. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21434-9_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Sheikhlar, Arash, Kristinn R. Thórisson, and Leonard M. Eberding. "Autonomous Cumulative Transfer Learning." In Artificial General Intelligence. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52152-3_32.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Paluszek, Michael, and Stephanie Thomas. "Autonomous Driving with MHT." In MATLAB Machine Learning Recipes. Apress, 2024. http://dx.doi.org/10.1007/978-1-4842-9846-6_13.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Autonomous learning"

1

Kulkarni, Shriya, and Dipti Durgesh Patil. "Reinforcement Learning for Autonomous Systems." In 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL). IEEE, 2025. https://doi.org/10.1109/icsadl65848.2025.10933414.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Sharma, Vinod, Parwati Kumawat, Pankaj Kumar, S. Yaminipriya, Subbarao Chamarthi, and Jitendra Kumar. "Reinforcement Learning for Autonomous Vehicles." In 2024 1st International Conference on Advances in Computing, Communication and Networking (ICAC2N). IEEE, 2024. https://doi.org/10.1109/icac2n63387.2024.10895165.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Bisen, Anand Singh, Sami Anand, S. Sujatha, Tholkapiyan M, Yogendra Kumar, and Madhuri Sharma. "Deep Learning in Autonomous Robotics." In 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI). IEEE, 2025. https://doi.org/10.1109/iatmsi64286.2025.10985719.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Suresh, K., Nishchaya Jandyal, and Garvit Thakan. "Self-Autonomous Vehicle Using Reinforcement Learning." In 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2024. http://dx.doi.org/10.1109/icaccs60874.2024.10717005.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Pindl, Lukas, Riikka Soitinaho, Patrick Behr, and Timo Oksanen. "Reinforcement Learning for Autonomous Headland Turns." In 21st International Conference on Informatics in Control, Automation and Robotics. SCITEPRESS - Science and Technology Publications, 2024. http://dx.doi.org/10.5220/0012944700003822.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Murali, Varun, Rosman Guy, Karaman Sertac, and Daniela Rus. "Learning autonomous driving from aerial imagery." In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2024. https://doi.org/10.1109/iros58592.2024.10801752.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Mohanty, Sresthasa, Ritu Maity, and Satya Ranjan Pattanaik. "Autonomous Vehicle Utilizing Deep Learning Methods." In 2024 International Conference on Intelligent Computing and Sustainable Innovations in Technology (IC-SIT). IEEE, 2024. https://doi.org/10.1109/ic-sit63503.2024.10862621.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Jung, Jenny, Melissa Shun, and Bhaskar Krishnamachari. "Coordinating Autonomous Vehicles Using Reinforcement Learning." In SoutheastCon 2025. IEEE, 2025. https://doi.org/10.1109/southeastcon56624.2025.10971480.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

D, Subitha, Fayyaz Khalid, Kavitha J. C, and Gulisetty Abhinav. "Improving Cancer Classification Through an Deep Learning Framework Using Transfer Learning." In 2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS). IEEE, 2025. https://doi.org/10.1109/icmlas64557.2025.10967923.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Goodin, Christopher T., Daniel W. Carruth, Sara Fuller, Christopher R. Hudson, and Lalitha Dabbiru. "Generating synthetic data for autonomous vehicle applications with the MSU autonomous vehicle simulator." In Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications III, edited by Keith F. Prussing, Kimberly E. Manser, Celso De Melo, Raghuveer M. Rao, and Christopher L. Howell. SPIE, 2025. https://doi.org/10.1117/12.3053413.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Autonomous learning"

1

Ranasinghe, Nadeesha, and Wei-Min Shen. Surprise-Based Learning for Autonomous Systems. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada585802.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Qin, Tong, Zhen Chen, John Jakeman, and Dongbin Xiu. Data-driven learning of non-autonomous systems. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1763550.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Shen, Wei-Min. Self-Organizing and Autonomous Learning Agents and Systems. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada430491.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Vecherin, Sergey, Jacob Desmond, Taylor Hodgdon, et al. Artificial intelligence and machine learning for autonomous military vehicles. Engineer Research and Development Center (U.S.), 2020. http://dx.doi.org/10.21079/11681/37943.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Gilbert, Nathaniel. Using Reinforcement Learning to Tackle the Autonomous Recharging Problem. Iowa State University, 2019. http://dx.doi.org/10.31274/cc-20240624-1567.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Lohn, Andrew, Anna Knack, Ant Burke, and Krystal Jackson. Autonomous Cyber Defense. Center for Security and Emerging Technology, 2023. http://dx.doi.org/10.51593/2022ca007.

Full text
Abstract:
The current AI-for-cybersecurity paradigm focuses on detection using automated tools, but it has largely neglected holistic autonomous cyber defense systems — ones that can act without human tasking. That is poised to change as tools are proliferating for training reinforcement learning-based AI agents to provide broader autonomous cybersecurity capabilities. The resulting agents are still rudimentary and publications are few, but the current barriers are surmountable and effective agents would be a substantial boon to society.
APA, Harvard, Vancouver, ISO, and other styles
7

Silver, David, J. A. Bagnell, and Anthony Stentz. Learning from Demonstration for Autonomous Navigation in Complex Unstructured Terrain. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada525288.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Goncalves, André. Autonomous reinforcement learning agentsfor improvingpredictions and observations of extreme climate events. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1769680.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Pandana, Charles, Zhu Han, and K. J. Liu. Cooperation Enforcement and Learning for Optimizing Packet Forwarding in Autonomous Wireless Networks. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada481590.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Pasupuleti, Murali Krishna. Optimal Control and Reinforcement Learning: Theory, Algorithms, and Robotics Applications. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv225.

Full text
Abstract:
Abstract: Optimal control and reinforcement learning (RL) are foundational techniques for intelligent decision-making in robotics, automation, and AI-driven control systems. This research explores the theoretical principles, computational algorithms, and real-world applications of optimal control and reinforcement learning, emphasizing their convergence for scalable and adaptive robotic automation. Key topics include dynamic programming, Hamilton-Jacobi-Bellman (HJB) equations, policy optimization, model-based RL, actor-critic methods, and deep RL architectures. The study also examines traject
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Autonomous learning' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography