Quasi-online reinforcement learning for robots

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 2006, Issue , 2006, Pages 2997-3002

  Bakker, Bram ^a   Zhumatiy, Viktor ^b   Gruener, Gabriel ^c   Schmidhuber, Jürgen ^b,d  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

^b DALLE MOLLE INSTITUTE FOR ARTIFICIAL INTELLIGENCE IDSIA   (Switzerland)

^c CSEM   (Switzerland)

^d TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATION THEORY; FUNCTION EVALUATION; ONLINE SYSTEMS; PROBABILISTIC LOGICS;

COMPUTATION TIME; PROBABILISTIC MODEL; REINFORCEMENT LEARNING;

ROBOT LEARNING;

EID: 33845607326     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2006.1642157     Document Type: Conference Paper

References (12)

1. B. Bakker, V. Zhumatiy, G. Gruener, and J. Schmidhuber. A robot that reinforcement-learns to identify and memorize important previous observations. In Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 430-435, 2003.
2. A. R. Cassandra, L. P. Kaelbling, and M. L. Littman. Acting optimally in partially observable stochastic domains. In Proceedings of the Twelfth National Conference on Artificial Intelligence, Seattle, WA, 1994.
3. D. Michie and R. A. Chambers. BOXES: An experiment in adaptive control. In Dale E and Michie D., editors, Machine Intelligence 2, pages 137-152, Edinburgh, 1968. Oliver and Boyd.
4. A. Moore and C. Atkeson. Prioritized sweeping: Reinforcement learning with less data and less time. Machine Learning, 13:103-130, 1993.
5. A. Y. Ng, D. Harada, and S. Russell. Policy invariance under reward transformations: theory and application to reward shaping. In Proc. 16th International Conf. on Machine Learning, pages 278-287, 1999.
6. A. Y. Ng, H. J. Kim, M. Jordan, and S. Sastry. Autonomous helicopter flight via reinforcement learning. In Advances in Neural Information Processing Systems 16, 2004.
7. J. Peng and R. J. Williams. Efficient learning and planning within the dyna framework. Adaptive Behavior, 1 (4):437-454, 1993.
8. J. Schmidhuber. Curious model-building control systems. In Proceedings of the International Joint Conference on Neural Networks, Singapore, volume 2, pages 1458-1463. IEEE press, 1991.
9. W. D. Smart and L. P. Kaelbling. Practical reinforcement learning in continuous spaces. In Proc. 17th International Conf. on Machine Learning, pages 903-910. Morgan Kaufmann, San Francisco, CA, 2000.
10. R. S. Sutton. Integrated architectures for learning, planning, and reacting based on approximating dynamic programming. In Proc. 7th ICML, pages 216-224, 1990.
11. R. S. Sutton and A. G. Barto. Reinforcement learning: An introduction. MIT Press, Cambridge, MA, 1998.
12. C. J. C. H. Watkins. Learning from delayed rewards. PhD thesis, Cambridge University, 1989.