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

Provable Partially Observable Reinforcement Learning with Privileged Information NIPS 2024
On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games NIPS 2024
Periodic agent-state based Q-learning for POMDPs NIPS 2024
Factored Online Planning in Many-Agent POMDPs AAAI 2024
Reward Machines for Deep RL in Noisy and Uncertain Environments NIPS 2024
Belief-State Query Policies for User-Aligned POMDPs NIPS 2024
ClothPPO: A Proximal Policy Optimization Enhancing Framework for Robotic Cloth Manipulation with Observation-Aligned Action Spaces IJCAI 2024
Optimality Guarantees for Particle Belief Approximation of POMDPs (Abstract Reprint) IJCAI 2024
Preference learning for guiding the tree search in continuous POMDPs CORL 2023
Energy-based Predictive Representations for Partially Observed Reinforcement Learning UAI 2023
Compositional Learning-based Planning for Vision POMDPs L4DC 2023
Learning in POMDPs is Sample-Efficient with Hindsight Observability ICML 2023
Set-membership Belief State-based Reinforcement Learning for POMDPs ICML 2023
Online POMDP Planning with Anytime Deterministic Guarantees NIPS 2023
ODE-based Recurrent Model-free Reinforcement Learning for POMDPs NIPS 2023
On the Challenges of Using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects AAAI 2023
Simplified Risk-aware Decision Making with Belief-dependent Rewards in Partially Observable Domains (Extended Abstract) IJCAI 2023
Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP ICML 2023
Shielding in Resource-Constrained Goal POMDPs AAAI 2023
Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings ICML 2023
A Partially Observable Monte Carlo Planning Algorithm Based on Path Modification ACML 2023
Lower Bounds for Learning in Revealing POMDPs ICML 2023
Heuristic Search in Dual Space for Constrained Fixed-Horizon POMDPs with Durative Actions AAAI 2023
Safe Policy Improvement for POMDPs via Finite-State Controllers AAAI 2023
Reference-Based POMDPs NIPS 2023