conftrace_

partially observable markov decision process

178 papers

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Also known as

POMDP

Co-occurring keywords

reinforcement learning (4352) belief state (75) online planning (37) multi-agent system (1819) sequential decision making (215) bayesian inference (1907) partial observability (119) monte carlo tree search (271) policy learning (702) partially observable markov decision processes (7)

Papers

Deep Recurrent Belief Propagation Network for POMDPs AAAI 2021
Apparently Irrational Choice as Optimal Sequential Decision Making AAAI 2021
Structured World Belief for Reinforcement Learning in POMDP ICML 2021
Safe Policies for Factored Partially Observable Stochastic Games RSS 2021
Hierarchical and Partially Observable Goal-Driven Policy Learning With Goals Relational Graph CVPR 2021
Adaptive Online Packing-guided Search for POMDPs NIPS 2021
Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes NIPS 2021
LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract) AAAI 2021
Improved POMDP Tree Search Planning with Prioritized Action Branching AAAI 2021
Bayesian Optimized Monte Carlo Planning AAAI 2021
Reinforcement Learning of Sequential Price Mechanisms AAAI 2021
Belief-Dependent Macro-Action Discovery in POMDPs using the Value of Information NIPS 2020
Robust Policy Synthesis for Uncertain POMDPs via Convex Optimization IJCAI 2020
Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continuous Domains ICML 2020
Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach AAAI 2020
Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes AAAI 2020
Off-Policy Evaluation in Partially Observable Environments AAAI 2020
Latent Belief Space Motion Planning under Cost, Dynamics, and Intent Uncertainty RSS 2020
Optimally Solving Two-Agent Decentralized POMDPs Under One-Sided Information Sharing ICML 2020
Partially Observable Markov Decision Process Modelling for Assessing Hierarchies ACML 2020
Generalized Mean Estimation in Monte-Carlo Tree Search IJCAI 2020
Sparse Tree Search Optimality Guarantees in POMDPs with Continuous Observation Spaces IJCAI 2020
Influence-Augmented Online Planning for Complex Environments NIPS 2020
Instance-based Generalization in Reinforcement Learning NIPS 2020
Multi-agent active perception with prediction rewards NIPS 2020