Near-Optimal Reinforcement Learning in Polynomial Time
Machine Learning
Nearly deterministic abstractions of Markov decision processes
Eighteenth national conference on Artificial intelligence
R-max - a general polynomial time algorithm for near-optimal reinforcement learning
The Journal of Machine Learning Research
Exploration and apprenticeship learning in reinforcement learning
ICML '05 Proceedings of the 22nd international conference on Machine learning
A causal approach to hierarchical decomposition of factored MDPs
ICML '05 Proceedings of the 22nd international conference on Machine learning
A hierarchical approach to efficient reinforcement learning in deterministic domains
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Causal Graph Based Decomposition of Factored MDPs
The Journal of Machine Learning Research
Knows what it knows: a framework for self-aware learning
Proceedings of the 25th international conference on Machine learning
Reinforcement learning for problems with symmetrical restricted states
Robotics and Autonomous Systems
Factored value iteration converges
Acta Cybernetica
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Near-Bayesian exploration in polynomial time
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Optimistic initialization and greediness lead to polynomial time learning in factored MDPs
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Value-function-based transfer for reinforcement learning using structure mapping
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Online resource allocation using decompositional reinforcement learning
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Efficient reinforcement learning with relocatable action models
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Efficient structure learning in factored-state MDPs
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
R-MAX: a general polynomial time algorithm for near-optimal reinforcement learning
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Exploring compact reinforcement-learning representations with linear regression
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Hi-index | 0.00 |