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Offline RL

725 directly classified papers

Papers per year

Papers

Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning NIPS 2023
Conservative State Value Estimation for Offline Reinforcement Learning NIPS 2023
trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback EMNLP 2023
Learning to Influence Human Behavior with Offline Reinforcement Learning NIPS 2023
Provably Efficient Offline Reinforcement Learning in Regular Decision Processes NIPS 2023
Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning EMNLP 2023
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning NIPS 2023
CORL: Research-oriented Deep Offline Reinforcement Learning Library NIPS 2023
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching CORL 2023
Offline Model-Based Reinforcement Learning for Tokamak Control L4DC 2023
CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning CORL 2023
When is Agnostic Reinforcement Learning Statistically Tractable? NIPS 2023
VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning NIPS 2023
Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning CORL 2023
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions CORL 2023
Contrastive Value Learning: Implicit Models for Simple Offline RL CORL 2023
Model-Based Offline Reinforcement Learning with Local Misspecification AAAI 2023
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation AAAI 2023
Semi-Supervised Off-Policy Reinforcement Learning and Value Estimation for Dynamic Treatment Regimes JMLR 2023
Exponential Smoothing for Off-Policy Learning ICML 2023
Goal-Conditioned Predictive Coding for Offline Reinforcement Learning NIPS 2023
Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery AAAI 2023
HIQL: Offline Goal-Conditioned RL with Latent States as Actions NIPS 2023
Weighted Policy Constraints for Offline Reinforcement Learning AAAI 2023
Supported Value Regularization for Offline Reinforcement Learning NIPS 2023