A model for reasoning about persistence and causation
Computational Intelligence
An Upper Bound on the Loss from Approximate Optimal-Value Functions
Machine Learning
Feature-based methods for large scale dynamic programming
Machine Learning - Special issue on reinforcement learning
Bounded-parameter Markov decision process
Artificial Intelligence
Neuro-Dynamic Programming
Variable Resolution Discretization for High-Accuracy Solutions of Optimal Control Problems
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Computing Factored Value Functions for Policies in Structured MDPs
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Representations and algorithms for large stochastic planning problems
Representations and algorithms for large stochastic planning problems
Exploiting structure in policy construction
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
SPUDD: stochastic planning using decision diagrams
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Efficient solution algorithms for factored MDPs
Journal of Artificial Intelligence Research
Resource-driven mission-phasing techniques for constrained agents in stochastic environments
Journal of Artificial Intelligence Research
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We consider the problem of how an agent creates a discrete spatial representation from its continuous interactions with the environment. Such representation will be the minimal one that explains the experiences of the agent in the environment. In this ...