Eligibility Traces for Off-Policy Policy Evaluation

Bounds on Sample Size for Policy Evaluation in Markov Environments

COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory

Combining importance sampling and temporal difference control variates to simulate Markov Chains

ACM Transactions on Modeling and Computer Simulation (TOMACS)

Reinforcement Learning with Approximation Spaces

Fundamenta Informaticae

Adaptive Importance Sampling Technique for Markov Chains Using Stochastic Approximation

Operations Research

Approximation spaces in off-policy Monte Carlo learning

Engineering Applications of Artificial Intelligence

Learning state-action basis functions for hierarchical MDPs

Proceedings of the 24th international conference on Machine learning

Reinforcement learning in the presence of rare events

Proceedings of the 25th international conference on Machine learning

Geodesic Gaussian kernels for value function approximation

Autonomous Robots

Efficient Sample Reuse in EM-Based Policy Search

ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I

Adaptive importance sampling with automatic model selection in value function approximation

AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3

Building portable options: skill transfer in reinforcement learning

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

Active policy iteration: efficient exploration through active learning for value function approximation in reinforcement learning

IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence

Adaptive importance sampling for value function approximation in off-policy reinforcement learning

Neural Networks

Least absolute policy iteration for robust value function approximation

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

A contextual-bandit approach to personalized news article recommendation

Proceedings of the 19th international conference on World wide web

Efficient exploration through active learning for value function approximation in reinforcement learning

Neural Networks

Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms

Proceedings of the fourth ACM international conference on Web search and data mining

Kalman temporal differences

Journal of Artificial Intelligence Research

Reinforcement learning with partially known world dynamics

UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence

Policy improvement for POMDPs using normalized importance sampling

UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence

Reward-weighted regression with sample reuse for direct policy search in reinforcement learning

Neural Computation

Recursive least-squares learning with eligibility traces

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

Transfer in reinforcement learning via shared features

The Journal of Machine Learning Research

Reinforcement Learning with Approximation Spaces

Fundamenta Informaticae

Estimating interleaved comparison outcomes from historical click data

Proceedings of the 21st ACM international conference on Information and knowledge management

Reusing historical interaction data for faster online learning to rank for IR

Proceedings of the sixth ACM international conference on Web search and data mining

Efficient sample reuse in policy gradients with parameter-based exploration

Neural Computation

Learning exploration strategies in model-based reinforcement learning

Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems

Fidelity, Soundness, and Efficiency of Interleaved Comparison Methods

ACM Transactions on Information Systems (TOIS)