Off-Policy Learning

Sparse-RL: Breaking the Memory Wall in LLM Reinforcement Learning via Stable Sparse Rollouts ACL 2026 Causal Eligibility Traces for Confounding Robust Off-Policy Evaluation UAI 2025 Clustering Context in Off-Policy Evaluation AISTATS 2025 Cross-Domain Off-Policy Evaluation and Learning for Contextual Bandits ICLR 2025 Distributional Off-policy Evaluation with Bellman Residual Minimization AISTATS 2025 Doubly Optimal Policy Evaluation for Reinforcement Learning ICLR 2025 Off-policy Predictive Control with Causal Sensitivity Analysis UAI 2025 Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPs ICLR 2025 Duolando: Follower GPT with Off-Policy Reinforcement Learning for Dance Accompaniment ICLR 2024 Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees ICLR 2024 Off-Policy Primal-Dual Safe Reinforcement Learning ICLR 2024 On Trajectory Augmentations for Off-Policy Evaluation ICLR 2024 Replay across Experiments: A Natural Extension of Off-Policy RL ICLR 2024 Skill or Luck? Return Decomposition via Advantage Functions ICLR 2024 Quasi-optimal Reinforcement Learning with Continuous Actions ICLR 2023 Action-modulated midbrain dopamine activity arises from distributed control policies NeurIPS 2022 A Unifying Framework of Off-Policy General Value Function Evaluation NeurIPS 2022 Benchmarks for Deep Off-Policy Evaluation ICLR 2021 Correcting experience replay for multi-agent communication ICLR 2021 Learning and Planning in Average-Reward Markov Decision Processes ICML 2021 Learning Deep Features in Instrumental Variable Regression ICLR 2021 Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning NeurIPS 2021 Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation NeurIPS 2021 Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation ICLR 2020 GenDICE: Generalized Offline Estimation of Stationary Values ICLR 2020