partially observable markov decision process

Reinforcement Learning of POMDPs using Spectral Methods COLT 2016 A Bayesian Framework for Modeling Confidence in Perceptual Decision Making NeurIPS 2015 Policy Search for Multi-Robot Coordination under Uncertainty RSS 2015 Shared Autonomy via Hindsight Optimization RSS 2015 Model-Based Relational RL When Object Existence is Partially Observable ICML 2014 Pre- and Post-Contact Policy Decomposition for Planar Contact Manipulation Under Uncertainty RSS 2014 DESPOT: Online POMDP Planning with Regularization NeurIPS 2013 Integrated Perception and Planning in the Continuous Space: A POMDP Approach RSS 2013 How Prior Probability Influences Decision Making: A Unifying Probabilistic Model NeurIPS 2012 Symbolic Dynamic Programming for Continuous State and Observation POMDPs NeurIPS 2012 A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes JMLR 2011 Efficient Offline Communication Policies for Factored Multiagent POMDPs NeurIPS 2011 Global Motion Planning under Uncertain Motion, Sensing, and Environment Map RSS 2011 Inverse Reinforcement Learning in Partially Observable Environments JMLR 2011 Monte Carlo Value Iteration with Macro-Actions NeurIPS 2011 Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning NeurIPS 2011 Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs RSS 2011 A Computational Decision Theory for Interactive Assistants NeurIPS 2010 A POMDP Extension with Belief-dependent Rewards NeurIPS 2010 Monte-Carlo Planning in Large POMDPs NeurIPS 2010 Nonparametric Bayesian Policy Priors for Reinforcement Learning NeurIPS 2010 Complexity of Decentralized Control: Special Cases NeurIPS 2009 Improving Existing Fault Recovery Policies NeurIPS 2009 Learning to Explore and Exploit in POMDPs NeurIPS 2009 POMDPs for robotic tasks with mixed observability RSS 2009