temporal difference learning

Uncorrected Least-Squares Temporal Difference with Lambda-Return AAAI 2020 Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis NeurIPS 2020 Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates NeurIPS 2019 Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory NeurIPS 2019 Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation on Multi-Agent Reinforcement Learning ICML 2019 Finite-Time Error Bounds For Linear Stochastic Approximation andTD Learning COLT 2019 Hindsight Credit Assignment NeurIPS 2019 Neural Temporal-Difference Learning Converges to Global Optima NeurIPS 2019 Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters NeurIPS 2019 Reconciling λ-Returns with Experience Replay NeurIPS 2019 RUDDER: Return Decomposition for Delayed Rewards NeurIPS 2019 Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update NeurIPS 2019 Separating value functions across time-scales ICML 2019 SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets IJCAI 2019 Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning NeurIPS 2019 Two-Timescale Networks for Nonlinear Value Function Approximation ICLR 2019 Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples NeurIPS 2019 A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation COLT 2018 A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning IJCAI 2018 Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments NeurIPS 2018 Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces IJCAI 2018 Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning COLT 2018 Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator ICML 2018 Linear Stochastic Approximation: How Far Does Constant Step-Size and Iterate Averaging Go? AISTATS 2018 On Generalized Bellman Equations and Temporal-Difference Learning JMLR 2018