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

MetaTrader: Learning to Generalize RL Trading Policies Beyond Offline Data AAAI 2026

Asymptotic and Finite Sample Analysis of Nonexpansive Stochastic Approximations with Markovian Noise AAAI 2026

An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models (Abstract Reprint) AAAI 2026

Language Model Distillation: A Temporal Difference Imitation Learning Perspective AAAI 2026

Gaussian Approximation for Two-Timescale Linear Stochastic Approximation AAAI 2026

The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise JMLR 2025

Finite-Time Analysis of Heterogeneous Federated Temporal Difference Learning IJCAI 2025

Real-Time Recurrent Reinforcement Learning AAAI 2025

Don’t Get Lost in the Trees: Streamlining LLM Reasoning by Overcoming Tree Search Exploration Pitfalls ACL 2025

A Primal-dual Perspective for Distributed TD-learning IJCAI 2025

Foundations of Multivariate Distributional Reinforcement Learning NIPS 2024

Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning NIPS 2024

Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability COLT 2024

SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning NIPS 2024

Statistical Efficiency of Distributional Temporal Difference Learning NIPS 2024

From Past to Future: Rethinking Eligibility Traces AAAI 2024

Adaptive Exploration for Data-Efficient General Value Function Evaluations NIPS 2024

The surprising efficiency of temporal difference learning for rare event prediction NIPS 2024

Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy NIPS 2024

Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling AISTATS 2024

Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning AAAI 2024

Discerning Temporal Difference Learning AAAI 2024

Single Timescale Actor-Critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees JMLR 2023

Reinforcement Learning from Passive Data via Latent Intentions ICML 2023

A Complete Characterization of Linear Estimators for Offline Policy Evaluation JMLR 2023