temporal difference learning

Variational Delayed Policy Optimization NeurIPS 2024 A Complete Characterization of Linear Estimators for Offline Policy Evaluation JMLR 2023 A finite-sample analysis of multi-step temporal difference estimates L4DC 2023 Backstepping Temporal Difference Learning ICLR 2023 Bootstrapped Representations in Reinforcement Learning ICML 2023 Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees NeurIPS 2023 Emergent Agentic Transformer from Chain of Hindsight Experience ICML 2023 Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation AISTATS 2023 Krylov–Bellman boosting: Super-linear policy evaluation in general state spaces AISTATS 2023 Learning from Active Human Involvement through Proxy Value Propagation NeurIPS 2023 Learning Pessimism for Reinforcement Learning AAAI 2023 Loosely consistent emphatic temporal-difference learning UAI 2023 Loss Dynamics of Temporal Difference Reinforcement Learning NeurIPS 2023 Modified Retrace for Off-Policy Temporal Difference Learning UAI 2023 On the Performance of Temporal Difference Learning With Neural Networks ICLR 2023 On the Statistical Benefits of Temporal Difference Learning ICML 2023 Optimal Execution via Multi-Objective Multi-Armed Bandits (Student Abstract) AAAI 2023 Prediction and Control in Continual Reinforcement Learning NeurIPS 2023 Prioritizing Samples in Reinforcement Learning with Reducible Loss NeurIPS 2023 Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards NeurIPS 2023 Reinforcement Learning from Passive Data via Latent Intentions ICML 2023 Revisiting the Minimalist Approach to Offline Reinforcement Learning NeurIPS 2023 Simultaneously Updating All Persistence Values in Reinforcement Learning AAAI 2023 Single Timescale Actor-Critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees JMLR 2023 Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation ICCV 2023