off-policy learning

The Pitfalls of Regularization in Off-Policy TD Learning NeurIPS 2022 Towards Off-Policy Learning for Ranking Policies with Logged Feedback AAAI 2022 Towards Robust Off-Policy Learning for Runtime Uncertainty AAAI 2022 Truncated Emphatic Temporal Difference Methods for Prediction and Control JMLR 2022 Average-Reward Learning and Planning with Options NeurIPS 2021 Breaking the Deadly Triad with a Target Network ICML 2021 Causal Influence Detection for Improving Efficiency in Reinforcement Learning NeurIPS 2021 Cautious Actor-Critic ACML 2021 C-Learning: Learning to Achieve Goals via Recursive Classification ICLR 2021 Continual Auxiliary Task Learning NeurIPS 2021 Correcting experience replay for multi-agent communication ICLR 2021 Data-efficient Hindsight Off-policy Option Learning ICML 2021 Deep Reinforcement Learning amidst Continual Structured Non-Stationarity ICML 2021 DOP: Off-Policy Multi-Agent Decomposed Policy Gradients ICLR 2021 Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality ICML 2021 Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates NeurIPS 2021 EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL ICML 2021 Emphatic Algorithms for Deep Reinforcement Learning ICML 2021 Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators NeurIPS 2021 Generalized Proximal Policy Optimization with Sample Reuse NeurIPS 2021 Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity ICLR 2021 Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings NeurIPS 2021 Learning and Planning in Average-Reward Markov Decision Processes ICML 2021 Learning Off-Policy with Online Planning CoRL 2021 Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning AAAI 2021