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Offline RL

28 papers

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Papers

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