Value-Function Approximations for Partially Observable Markov Decision Processes.
AIS-BN: An Adaptive Importance Sampling Algorithm for Evidential Reasoning in Large Bayesian Networks.
Space Efficiency of Propositional Knowledge Representation Formalisms.
Conformant Planning via Symbolic Model Checking.
Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition.
OBDD-based Universal Planning for Synchronized Agents in Non-Deterministic Domains.
Asimovian Adaptive Agents.