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EWRL
2008
13 years 9 months ago
Markov Decision Processes with Arbitrary Reward Processes
Abstract. We consider a control problem where the decision maker interacts with a standard Markov decision process with the exception that the reward functions vary arbitrarily ove...
Jia Yuan Yu, Shie Mannor, Nahum Shimkin
ROBOCUP
2001
Springer
125views Robotics» more  ROBOCUP 2001»
14 years 3 days ago
Essex Wizards 2001 Team Description
This article presents an overview of the Essex Wizards 2001 team participated in the RoboCup 2001 simulator league. Four major issues have been addressed, namely a generalized appr...
Huosheng Hu, Kostas Kostiadis, Matthew Hunter, Nik...
NIPS
2004
13 years 9 months ago
Multi-agent Cooperation in Diverse Population Games
We consider multi-agent systems whose agents compete for resources by striving to be in the minority group. The agents adapt to the environment by reinforcement learning of the pr...
K. Y. Michael Wong, S. W. Lim, Zhuo Gao
FLAIRS
2009
13 years 5 months ago
Beating the Defense: Using Plan Recognition to Inform Learning Agents
In this paper, we investigate the hypothesis that plan recognition can significantly improve the performance of a casebased reinforcement learner in an adversarial action selectio...
Matthew Molineaux, David W. Aha, Gita Sukthankar
IROS
2006
IEEE
107views Robotics» more  IROS 2006»
14 years 1 months ago
Heterogeneous and Hierarchical Cooperative Learning via Combining Decision Trees
Abstract— Decision trees, being human readable and hierarchically structured, provide a suitable mean to derive state-space abstraction and simplify the inclusion of the availabl...
Masoud Asadpour, Majid Nili Ahmadabadi, Roland Sie...