Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots

Heuristic anytime approaches to stochastic decision processes

Journal of Heuristics

A general criterion and an algorithmic framework for learning in multi-agent systems

Machine Learning

Model-Based Reinforcement Learning for Partially Observable Games with Sampling-Based State Estimation

Neural Computation

Learning against opponents with bounded memory

IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence

Planning to see: A hierarchical approach to planning visual actions on a robot using POMDPs

Artificial Intelligence

Reinforcement learning with partially known world dynamics

UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence