partially observable markov decision process

Personalized Robot Tutoring Using the Assistive Tutor POMDP (AT-POMDP) AAAI 2019 Sampling Networks and Aggregate Simulation for Online POMDP Planning NeurIPS 2019 Variational BEJG Solvers for Marginal-MAP Inference with Accurate Approximation of B-Conditional Entropy AAAI 2019 An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning ICML 2018 Autonomous Thermalling as a Partially Observable Markov Decision Process RSS 2018 Deep Variational Reinforcement Learning for POMDPs ICML 2018 Efficient Hierarchical Robot Motion Planning Under Uncertainty and Hybrid Dynamics CoRL 2018 Expectation Optimization with Probabilistic Guarantees in POMDPs with Discounted-Sum Objectives IJCAI 2018 Goal-HSVI: Heuristic Search Value Iteration for Goal POMDPs IJCAI 2018 HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty RSS 2018 Learning to Act in Decentralized Partially Observable MDPs ICML 2018 Monte-Carlo Tree Search for Constrained POMDPs NeurIPS 2018 Regret Minimization for Partially Observable Deep Reinforcement Learning ICML 2018 rho-POMDPs have Lipschitz-Continuous epsilon-Optimal Value Functions NeurIPS 2018 Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs NeurIPS 2017 Factorized Asymptotic Bayesian Policy Search for POMDPs IJCAI 2017 Learning in POMDPs with Monte Carlo Tree Search ICML 2017 Maximizing Awareness about HIV in Social Networks of Homeless Youth with Limited Information IJCAI 2017 Online Decision-Making for Scalable Autonomous Systems IJCAI 2017 A PAC RL Algorithm for Episodic POMDPs AISTATS 2016 A Probabilistic Model of Social Decision Making based on Reward Maximization NeurIPS 2016 Catching heuristics are optimal control policies NeurIPS 2016 Integrated Common Sense Learning and Planning in POMDPs JMLR 2016 Open Problem: Approximate Planning of POMDPs in the class of Memoryless Policies COLT 2016 PAC Reinforcement Learning with Rich Observations NeurIPS 2016