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Offline RL

28 directly classified papers

Papers per year

Papers

Trajectory Tactics: When Transformers Learn Exploration to Generate Online Signature WACV 2026
Probabilistic Offline Policy Ranking with Approximate Bayesian Computation AAAI 2024
Offline Model-Based Optimization via Policy-Guided Gradient Search AAAI 2024
MADiff: Offline Multi-agent Learning with Diffusion Models NIPS 2024
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement NIPS 2024
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model NIPS 2024
Scaling Offline Evaluation of Reinforcement Learning Agents through Abstraction AAAI 2024
Multi-Agent Domain Calibration with a Handful of Offline Data NIPS 2024
An Instrumental Variable Approach to Confounded Off-Policy Evaluation ICML 2023
Model-based Offline Reinforcement Learning with Count-based Conservatism ICML 2023
Counterfactual Learning with General Data-Generating Policies AAAI 2023
Safe Offline Reinforcement Learning with Real-Time Budget Constraints ICML 2023
Conformal Off-Policy Prediction in Contextual Bandits NIPS 2022
The Curse of Passive Data Collection in Batch Reinforcement Learning AISTATS 2022
Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning ICML 2022
[CASPI] Causal-aware Safe Policy Improvement for Task-oriented Dialogue ACL 2022
Off-Policy Evaluation with Deficient Support Using Side Information NIPS 2022
Boosting Offline Reinforcement Learning with Residual Generative Modeling IJCAI 2021
Deeply-Debiased Off-Policy Interval Estimation ICML 2021
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation ICML 2021
Model-Free and Model-Based Policy Evaluation when Causality is Uncertain ICML 2021
Offline Contextual Bandits with Overparameterized Models ICML 2021
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills ICML 2021
Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning AISTATS 2021
Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits ICML 2020