temporal difference learning

Preferential Temporal Difference Learning ICML 2021 Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms AISTATS 2021 Temporal Difference Learning as Gradient Splitting ICML 2021 Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning ICML 2021 Variance Penalized On-Policy and Off-Policy Actor-Critic AAAI 2021 Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic NeurIPS 2021 A Local Temporal Difference Code for Distributional Reinforcement Learning NeurIPS 2020 A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound AAAI 2020 Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory NeurIPS 2020 Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies ICML 2020 Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis NeurIPS 2020 Discount Factor as a Regularizer in Reinforcement Learning ICML 2020 Discovering Reinforcement Learning Algorithms NeurIPS 2020 Finite-Time Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation AISTATS 2020 Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction NeurIPS 2020 Geometric Insights into the Convergence of Nonlinear TD Learning ICLR 2020 Gradient Temporal-Difference Learning with Regularized Corrections ICML 2020 How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization NeurIPS 2020 Interference and Generalization in Temporal Difference Learning ICML 2020 On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration COLT 2020 Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation ICML 2020 Reanalysis of Variance Reduced Temporal Difference Learning ICLR 2020 Reducing Sampling Error in Batch Temporal Difference Learning ICML 2020 R-learning in actor-critic model offers a biologically relevant mechanism for sequential decision-making NeurIPS 2020 Successor Features Combine Elements of Model-Free and Model-based Reinforcement Learning JMLR 2020