off-policy reinforcement learning

Behaviour Policy Optimization: Provably Lower Variance Return Estimates for Off-Policy Reinforcement Learning AAAI 2026 Constraint-Aware Reinforcement Learning via Adaptive Action Scaling L4DC 2026 PEAR: Primitive Enabled Adaptive Relabeling for Boosting Hierarchical Reinforcement Learning ICLR 2025 Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation AAAI 2024 Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset NeurIPS 2024 Replay across Experiments: A Natural Extension of Off-Policy RL ICLR 2024 RLIF: Interactive Imitation Learning as Reinforcement Learning ICLR 2024 Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees AISTATS 2023 Goal-Conditioned Q-learning as Knowledge Distillation AAAI 2023 Guarded Policy Optimization with Imperfect Online Demonstrations ICLR 2023 Hyperparameter Tuning of an Off-Policy Reinforcement Learning Algorithm for H∞ Tracking Control L4DC 2023 Multi-Horizon Learning in Procedurally-Generated Environments for Off-Policy Reinforcement Learning (Student Abstract) AAAI 2023 Off-Policy Average Reward Actor-Critic with Deterministic Policy Search ICML 2023 Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation ICML 2023 Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems ACL 2023 Semi-Supervised Off-Policy Reinforcement Learning and Value Estimation for Dynamic Treatment Regimes JMLR 2023 When is Realizability Sufficient for Off-Policy Reinforcement Learning? ICML 2023 Marginalized Operators for Off-policy Reinforcement Learning AISTATS 2022 Model-augmented Prioritized Experience Replay ICLR 2022 Off-Policy Reinforcement Learning with Delayed Rewards ICML 2022 Stabilizing Off-Policy Deep Reinforcement Learning from Pixels ICML 2022 Deep Reinforcement Learning amidst Continual Structured Non-Stationarity ICML 2021 Learning Routines for Effective Off-Policy Reinforcement Learning ICML 2021 Learning to Sample with Local and Global Contexts in Experience Replay Buffer ICLR 2021 Regret Minimization Experience Replay in Off-Policy Reinforcement Learning NeurIPS 2021