Off-policy Model-based Learning under Unknown Factored Dynamics
Automatic Discovery and Transfer of MAXQ Hierarchies
Mining Large Graphs: Laws and Tools
Monte-Carlo Planning: Basic Principles and Recent Progress
Principles of Digital Communication II
Model-Based Reinforcement Learning
Sample-Based Planning for Continuous Action Markov Decision Processes
Dynamic Programming and Stochastic Control
Monte Carlo Simulation for Statistical Inference, Model Selection and Decision Making
Hierarchical POMDP Controller Optimization by Likelihood Maximization