off-policy learning

Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning ICLR 2023 Planning and Learning with Adaptive Lookahead AAAI 2023 Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks ICLR 2023 Q-functionals for Value-Based Continuous Control AAAI 2023 Quasi-optimal Reinforcement Learning with Continuous Actions ICLR 2023 Reliable Off-Policy Learning for Dosage Combinations NeurIPS 2023 Simultaneously Updating All Persistence Values in Reinforcement Learning AAAI 2023 State-Conditioned Adversarial Subgoal Generation AAAI 2023 STEER: Unified Style Transfer with Expert Reinforcement EMNLP 2023 The Optimal Approximation Factors in Misspecified Off-Policy Value Function Estimation ICML 2023 The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure AAAI 2023 Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data ICML 2023 Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning ICML 2023 Uncertainty-Aware Instance Reweighting for Off-Policy Learning NeurIPS 2023 Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective NeurIPS 2023 VA-learning as a more efficient alternative to Q-learning ICML 2023 When is Realizability Sufficient for Off-Policy Reinforcement Learning? ICML 2023 Why Target Networks Stabilise Temporal Difference Methods ICML 2023 Action-modulated midbrain dopamine activity arises from distributed control policies NeurIPS 2022 A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning JMLR 2022 An Analytical Update Rule for General Policy Optimization ICML 2022 A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP NeurIPS 2022 A Temporal-Difference Approach to Policy Gradient Estimation ICML 2022 A Unifying Framework of Off-Policy General Value Function Evaluation NeurIPS 2022 Batch size-invariance for policy optimization NeurIPS 2022