A game-theoretic approach to apprenticeship learning

Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference

Volumn , Issue , 2008, Pages

  Syed, Umar ^a   Schapire, Robert E ^a  

^a Princeton University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPRENTICES; HUMAN COMPUTER INTERACTION; TOYS;

APPRENTICESHIP LEARNING; FORMAL ANALYSIS; FORMAL PRESENTATION; GAME-THEORETIC; LEARN+; LINEAR COMBINATIONS; MATRIX GAME; REWARD FUNCTION; TRANSITION FUNCTIONS; WEIGHT ALGORITHM;

GAME THEORY;

EID: 85162012324     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. P. Abbeel, A. Ng (2004). Apprenticeship Learning via Inverse Reinforcement Learning. ICML 21.
2. Y. Freund, R. E. Schapire (1999). Adaptive Game Playing Using Multiplicative Weights. Games and Economic Behavior 29, 79-103.
3. N. Ratliff, J. Bagnell, M. Zinkevich (2006). Maximum Margin Planning. ICML 23.
4. U. Syed, R. E. Schapire (2007). "A Game-Theoretic Approach to Apprenticeship Learning - Supplement". http://www.cs.princeton.edu/~usyed/ nips2007/.
5. M. Kearns, S. Singh (2002). Near-Optimal Reinforcement Learning in Polynomial Time. Machine Learning 49, 209-232. (Pubitemid 34325687)
6. P. Abbeel, A. Ng (2005). Exploration and Apprenticeship Learning in Reinforcement Learning. ICML 22. (Long version; available at http://www.cs.stanford.edu/~pabbeel/)