TAMER: Training an agent manually via evaluative reinforcement

2008 IEEE 7th International Conference on Development and Learning, ICDL

Volumn , Issue , 2008, Pages 292-297

  Knox, W Bradley ^a   Stone, Peter ^a  

^a University of Texas at Austin   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGENT MODEL; AUTONOMOUS LEARNING; COMPLEX TASK; HUMAN EXPERTISE; LEARNING AGENTS; LEARNING PROCESS; NOVEL ALGORITHM; ORDER OF MAGNITUDE; REWARD FUNCTION; SEQUENTIAL DECISION MAKING;

ALGORITHMS; AUTONOMOUS AGENTS; GAME THEORY; INTELLIGENT AGENTS; REINFORCEMENT;

EDUCATION;

EID: 67650154279     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DEVLRN.2008.4640845     Document Type: Conference Paper

References (18)

1. G. Tesauro, "TD-Gammon, a self-teaching backgammon program, achieves master-level play," Neural Computation, vol. 6, no. 2, pp. 215-219, 1994.
2. P. Abbeel and A. Ng, "Apprenticeship learning via inverse reinforcement learning," ACM International Conference Proceeding Series, 2004.
3. P. Stone, R. S. Sutton, and G. Kuhlmann, "Reinforcement learning for RoboCup-soccer keepaway," Adaptive Behavior, vol. 13, no. 3, pp. 165-188, 2005.
4. N. Kohl and P. Stone, "Machine learning for fast quadrupedal locomotion," in The Nineteenth National Conference on Artificial Intelligence, July 2004, pp. 611-616.
5. R. Maclin and J. W. Shavlik, "Creating advice-taking reinforcement learners," Machine Learning, vol. 22, pp. 251-282, 1996.
6. A. Thomaz and C. Breazeal, "Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance," AAAI-2006.
7. R. Sutton and A. Barto, Reinforcement Learning: An Introduction. MIT Press, 1998.
8. C. L. Isbell, Jr., M. Kearns, S. Singh, C. Shelton, P. Stone, and D. Kormann, "Cobot in LambdaMOO: An adaptive social statistics agent," Autonomous Agents and Multiagent Systems, vol. 13, no. 3, November 2006.
9. M. Bouton, Learning and Behavior: A Contemporary Synthesis. Sinauer Associates, 2007.
10. D. Moreno, C. Regueiro, R. Iglesias, and S. Barro, "Using prior knowledge to improve reinforcement learning in mobile robotics," Proc. Towards Autonomous Robotics Systems. Univ. of Essex, UK, 2004.
11. G. Kuhlmann, P. Stone, R. Mooney, and J. Shavlik, "Guiding a reinforcement learner with natural language advice: Initial results in RoboCup soccer," in The AAAI-2004 Workshop on Supervisory Control of Learning and Adaptive Systems, July 2004.
12. S. Schaal, "Is imitation learning the route to humanoid robots?" Trends in Cognitive Sciences, vol. 3, no. 6, 1999.
13. F. Kaplan, P. Oudeyer, E. Kubinyi, and A. Mikl osi, "Robotic clicker training," Robotics and Autonomous Systems, vol. 38, no. 3-4, 2002.
14. B. Blumberg, M. Downie, Y. Ivanov, M. Berlin, M. Johnson, and B. Tomlinson, "Integrated learning for interactive synthetic characters," Proc. of the 29th annual conference on Computer graphics and interactive techniques, 2002.
15. D. Bertsekas and J. Tsitsiklis, Neuro-Dynamic Programming. Athena Scientific, 1996.
16. I. Szita and A. Lorincz, "Learning Tetris Using the Noisy Cross-Entropy Method," Neural Computation, vol. 18, no. 12, 2006.
17. J. Ramon and K. Driessens, "On the numeric stability of gaussian processes regression for relational reinforcement learning," ICML-2004 Workshop on Relational Reinforcement Learning, pp. 10-14, 2004.
18. N. Bohm, G. Kokai, and S. Mandl, "Evolving a heuristic function for the game of Tetris," Proc. Lernen, Wissensentdeckung und Adaptivitat LWA, 2004.