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CORR
2008
Springer
147views Education» more  CORR 2008»
13 years 11 months ago
A Minimum Relative Entropy Principle for Learning and Acting
This paper proposes a method to construct an adaptive agent that is universal with respect to a given class of experts, where each expert is designed specifically for a particular...
Pedro A. Ortega, Daniel A. Braun
AAAI
1992
14 years 1 days ago
Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning
It is often useful for a robot to construct a spatial representation of its environment from experiments and observations, in other words, to learn a map of its environment by exp...
Thomas Dean, Dana Angluin, Kenneth Basye, Sean P. ...
NIPS
2003
14 years 7 days ago
Learning Near-Pareto-Optimal Conventions in Polynomial Time
We study how to learn to play a Pareto-optimal strict Nash equilibrium when there exist multiple equilibria and agents may have different preferences among the equilibria. We focu...
Xiao Feng Wang, Tuomas Sandholm
HICSS
2005
IEEE
162views Biometrics» more  HICSS 2005»
14 years 4 months ago
An Agent-Based Approach to Study Virtual Learning Communities
This paper focuses on agent-based approach to study the relationship between the individual behavior of participants and the overall development of a virtual community, to help pe...
Yiwen Zhang, Mohan Tanniru
AAAI
2011
12 years 11 months ago
Coordinated Multi-Agent Reinforcement Learning in Networked Distributed POMDPs
In many multi-agent applications such as distributed sensor nets, a network of agents act collaboratively under uncertainty and local interactions. Networked Distributed POMDP (ND...
Chongjie Zhang, Victor R. Lesser