temporal difference learning

State-Action Similarity-Based Representations for Off-Policy Evaluation NeurIPS 2023 Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies ICML 2023 Taylor TD-learning NeurIPS 2023 TD Convergence: An Optimization Perspective NeurIPS 2023 The Statistical Benefits of Quantile Temporal-Difference Learning for Value Estimation ICML 2023 Toward Efficient Gradient-Based Value Estimation ICML 2023 Why Target Networks Stabilise Temporal Difference Methods ICML 2023 Adapting to Mixing Time in Stochastic Optimization with Markovian Data ICML 2022 A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions AAAI 2022 A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning JMLR 2022 Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation AISTATS 2022 A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning NeurIPS 2022 A Temporal-Difference Approach to Policy Gradient Estimation ICML 2022 A Unifying Framework of Off-Policy General Value Function Evaluation NeurIPS 2022 Chaining Value Functions for Off-Policy Learning AAAI 2022 Deep Reinforcement Learning for High-Frequency Market Making ACML 2022 Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency AAAI 2022 DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization ICLR 2022 Experience Replay with Likelihood-free Importance Weights L4DC 2022 Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling ICML 2022 Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks NeurIPS 2022 Gradient Temporal Difference with Momentum: Stability and Convergence AAAI 2022 Learning Dynamics and Generalization in Deep Reinforcement Learning ICML 2022 Learning Expected Emphatic Traces for Deep RL AAAI 2022 On the role of overparameterization in off-policy Temporal Difference learning with linear function approximation NeurIPS 2022