Optimal learning: computational procedures for bayes-adaptive markov decision processes

Active model selection

UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence

Reinforcement learning for active model selection

UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining

Bayesian sparse sampling for on-line reward optimization

ICML '05 Proceedings of the 22nd international conference on Machine learning

An analytic solution to discrete Bayesian reinforcement learning

ICML '06 Proceedings of the 23rd international conference on Machine learning

An intrinsic reward mechanism for efficient exploration

ICML '06 Proceedings of the 23rd international conference on Machine learning

Point-Based Value Iteration for Continuous POMDPs

The Journal of Machine Learning Research

Online exploration in least-squares policy iteration

Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2

Using linear programming for Bayesian exploration in Markov decision processes

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence

Probabilistic action planning for active scene modeling in continuous high-dimensional domains

ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation

Bayesian reinforcement learning in continuous pomdps with Gaussian processes

IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems

Simple model-based exploration and exploitation of Markov decision processes using the elimination algorithm

MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence

Reducing reinforcement learning to KWIK online regression

Annals of Mathematics and Artificial Intelligence

A minimum relative entropy principle for learning and acting

Journal of Artificial Intelligence Research

Efficient solutions to factored MDPs with imprecise transition probabilities

Artificial Intelligence

A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes

The Journal of Machine Learning Research

Preference elicitation and inverse reinforcement learning

ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III

Budgeted learning of nailve-bayes classifiers

UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence

Sequentially optimal repeated coalition formation under uncertainty

Autonomous Agents and Multi-Agent Systems

Active learning of MDP models

EWRL'11 Proceedings of the 9th European conference on Recent Advances in Reinforcement Learning

Robust bayesian reinforcement learning through tight lower bounds

EWRL'11 Proceedings of the 9th European conference on Recent Advances in Reinforcement Learning

V-MAX: tempered optimism for better PAC reinforcement learning

Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1

Bayes-optimal reinforcement learning for discrete uncertainty domains

Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3

Prior-free exploration bonus for and beyond near bayes-optimal behavior

IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence

Linear Bayesian reinforcement learning

IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence

Monte-Carlo tree search for Bayesian reinforcement learning

Applied Intelligence

Scalable and efficient bayes-adaptive reinforcement learning based on monte-carlo tree search

Journal of Artificial Intelligence Research