off-policy learning

Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees AISTATS 2023 Decision S4: Efficient Sequence-Based RL via State Spaces Layers ICLR 2023 Deep Off-Policy Iterative Learning Control L4DC 2023 DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm ICML 2023 Doubly Robust Augmented Transfer for Meta-Reinforcement Learning NeurIPS 2023 Efficient Online Reinforcement Learning with Offline Data ICML 2023 Efficient Symbolic Policy Learning with Differentiable Symbolic Expression NeurIPS 2023 Eventual Discounting Temporal Logic Counterfactual Experience Replay ICML 2023 Exponential Smoothing for Off-Policy Learning ICML 2023 Goal-Conditioned Q-learning as Knowledge Distillation AAAI 2023 Hindsight States: Blending Sim & Real Task Elements for Efficient Reinforcement Learning RSS 2023 Hyperbolic Deep Reinforcement Learning ICLR 2023 Learning Pessimism for Reinforcement Learning AAAI 2023 Loosely consistent emphatic temporal-difference learning UAI 2023 Meta-learning Parameterized Skills ICML 2023 Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning AAAI 2023 Modified Retrace for Off-Policy Temporal Difference Learning UAI 2023 Multi-Agent Automated Machine Learning CVPR 2023 Multi-Task Off-Policy Learning from Bandit Feedback ICML 2023 Off-Policy Actor-Critic with Emphatic Weightings JMLR 2023 Off-Policy Proximal Policy Optimization AAAI 2023 Online Learning with Off-Policy Feedback ALT 2023 On the Relation between Policy Improvement and Off-Policy Minimum-Variance Policy Evaluation UAI 2023 PAC-Bayesian Offline Contextual Bandits With Guarantees ICML 2023 Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation ICML 2023