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Offline RL

726 papers

Papers per year

2
60
37
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Papers

Hyperparameter Optimization Can Even Be Harmful in Off-Policy Learning and How to Deal with It IJCAI 2024
Offline Reinforcement Learning with Behavioral Supervisor Tuning IJCAI 2024
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles IJCAI 2024
Optimality Guarantees for Particle Belief Approximation of POMDPs (Abstract Reprint) IJCAI 2024
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity JMLR 2024
Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning JMLR 2024
Data-Efficient Policy Evaluation Through Behavior Policy Search JMLR 2024
Real-world fluid directed rigid body control via deep reinforcement learning L4DC 2024
SpOiLer: Offline reinforcement learning using scaled penalties L4DC 2024
Residual learning and context encoding for adaptive offline-to-online reinforcement learning L4DC 2024
Offline Imitation Learning Through Graph Search and Retrieval RSS 2024
Diffused Task-Agnostic Milestone Planner NIPS 2023
Hyperbolic VAE via Latent Gaussian Distributions NIPS 2023
A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories NIPS 2023
Adversarial Model for Offline Reinforcement Learning NIPS 2023
Regularized Behavior Cloning for Blocking the Leakage of Past Action Information NIPS 2023
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples NIPS 2023
Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability NIPS 2023
Hybrid Policy Optimization from Imperfect Demonstrations NIPS 2023
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets NIPS 2023
Constrained Policy Optimization with Explicit Behavior Density For Offline Reinforcement Learning NIPS 2023
Budgeting Counterfactual for Offline RL NIPS 2023
Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management NIPS 2023
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL NIPS 2023
Off-Policy Evaluation for Human Feedback NIPS 2023