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

Sample-Efficient Reinforcement Learning of Undercomplete POMDPs NIPS 2020
Multiagent Rollout and Policy Iteration for POMDP with Application to Multi-Robot Repair Problems CORL 2020
Improved Vector Pruning in Exact Algorithms for Solving POMDPs UAI 2020
Interpretable Cascade Classifiers with Abstention AISTATS 2019
DESPOT-Alpha: Online POMDP Planning with Large State and Observation Spaces RSS 2019
Evacuate or Not? A POMDP Model of the Decision Making of Individuals in Hurricane Evacuation Zones UAI 2019
Learning Deep Decentralized Policy Network by Collective Rewards for Real-Time Combat Game IJCAI 2019
Efficient Planning Under Uncertainty with Incremental Refinement UAI 2019
Personalized Robot Tutoring Using the Assistive Tutor POMDP (AT-POMDP) AAAI 2019
LeTS-Drive: Driving in a Crowd by Learning from Tree Search RSS 2019
Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling AAAI 2019
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models ICML 2019
Learning Belief Representations for Imitation Learning in POMDPs UAI 2019
On the Relationship Between Satisfiability and Markov Decision Processes UAI 2019
Counterexample-Guided Strategy Improvement for POMDPs Using Recurrent Neural Networks IJCAI 2019
Sampling Networks and Aggregate Simulation for Online POMDP Planning NIPS 2019
Perception-Aware Point-Based Value Iteration for Partially Observable Markov Decision Processes IJCAI 2019
IPOMDP-Net: A Deep Neural Network for Partially Observable Multi-Agent Planning Using Interactive POMDPs AAAI 2019
Variational BEJG Solvers for Marginal-MAP Inference with Accurate Approximation of B-Conditional Entropy AAAI 2019
Approximability of Constant-horizon Constrained POMDP IJCAI 2019
Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning IJCAI 2019
Integrating Decision Sharing with Prediction in Decentralized Planning for Multi-Agent Coordination under Uncertainty IJCAI 2019
Learning to Act in Decentralized Partially Observable MDPs ICML 2018
Efficient Hierarchical Robot Motion Planning Under Uncertainty and Hybrid Dynamics CORL 2018
Deep Variational Reinforcement Learning for POMDPs ICML 2018