Scalable Internal-State Policy-Gradient Methods for POMDPs

Point-Based Value Iteration for Continuous POMDPs

The Journal of Machine Learning Research

Partially observable Markov decision processes with imprecise parameters

Artificial Intelligence

A Continuous Internal-State Controller for Partially Observable Markov Decision Processes

ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I

The factored policy-gradient planner

Artificial Intelligence

Predictive representations for policy gradient in POMDPs

ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning

Stochastic local search for POMDP controllers

AAAI'04 Proceedings of the 19th national conference on Artifical intelligence

Perseus: randomized point-based value iteration for POMDPs

Journal of Artificial Intelligence Research

Solving POMDPs with continuous or large discrete observation spaces

IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence

Reinforcement learning for cooperative actions in a partially observable multi-agent system

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks

An off-policy natural policy gradient method for a partial observable Markov decision process

ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II

Learning epistemic actions in model-free memory-free reinforcement learning: experiments with a neuro-robotic model

Living Machines'13 Proceedings of the Second international conference on Biomimetic and Biohybrid Systems

Online expectation maximization for reinforcement learning in POMDPs

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