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temporal difference learning

149 papers

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Also known as

TD TD LEARNING TD-LEARNING LSTD GTD

Co-occurring keywords

reinforcement learning (4122) policy evaluation (115) function approximation (319) value function (294) markov decision process (788) off-policy learning (227) stochastic approximation (101) linear function approximation (101) policy optimization (630) convergence analysis (394)

Papers

Single Timescale Actor-Critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees JMLR 2023
Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards NIPS 2023
Toward Efficient Gradient-Based Value Estimation ICML 2023
Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies ICML 2023
A Complete Characterization of Linear Estimators for Offline Policy Evaluation JMLR 2023
Bootstrapped Representations in Reinforcement Learning ICML 2023
Krylov–Bellman boosting: Super-linear policy evaluation in general state spaces AISTATS 2023
Prioritizing Samples in Reinforcement Learning with Reducible Loss NIPS 2023
Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation AISTATS 2023
Modified Retrace for Off-Policy Temporal Difference Learning UAI 2023
Learning from Active Human Involvement through Proxy Value Propagation NIPS 2023
Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees NIPS 2023
Simultaneously Updating All Persistence Values in Reinforcement Learning AAAI 2023
Prediction and Control in Continual Reinforcement Learning NIPS 2023
Taylor TD-learning NIPS 2023
A finite-sample analysis of multi-step temporal difference estimates L4DC 2023
On the Statistical Benefits of Temporal Difference Learning ICML 2023
Why Target Networks Stabilise Temporal Difference Methods ICML 2023
Reinforcement Learning from Passive Data via Latent Intentions ICML 2023
Optimal Execution via Multi-Objective Multi-Armed Bandits (Student Abstract) AAAI 2023
Emergent Agentic Transformer from Chain of Hindsight Experience ICML 2023
State-Action Similarity-Based Representations for Off-Policy Evaluation NIPS 2023
Policy Evaluation and Temporal-Difference Learning in Continuous Time and Space: A Martingale Approach JMLR 2022
Adapting to Mixing Time in Stochastic Optimization with Markovian Data ICML 2022
Sample Complexity of Policy-Based Methods under Off-Policy Sampling and Linear Function Approximation AISTATS 2022