temporal difference learning

Solving hidden monotone variational inequalities with surrogate losses ICLR 2025 Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models ICLR 2025 Stochastic Approximation with Unbounded Markovian Noise: A General-Purpose Theorem AISTATS 2025 Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling ICLR 2025 Temporal Difference Learning: Why It Can Be Fast and How It Will Be Faster ICLR 2025 The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise JMLR 2025 Transformers Can Learn Temporal Difference Methods for In-Context Reinforcement Learning ICLR 2025 Adaptive Exploration for Data-Efficient General Value Function Evaluations NeurIPS 2024 An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks ICML 2024 Averaging n-step Returns Reduces Variance in Reinforcement Learning ICML 2024 Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View. ICLR 2024 Discerning Temporal Difference Learning AAAI 2024 Foundations of Multivariate Distributional Reinforcement Learning NeurIPS 2024 From Past to Future: Rethinking Eligibility Traces AAAI 2024 Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning NeurIPS 2024 Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning AAAI 2024 Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability COLT 2024 Learning Successor Features the Simple Way NeurIPS 2024 Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer ICML 2024 Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy NeurIPS 2024 SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning NeurIPS 2024 Statistical Efficiency of Distributional Temporal Difference Learning NeurIPS 2024 Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling AISTATS 2024 Temporal-Difference Learning Using Distributed Error Signals NeurIPS 2024 The surprising efficiency of temporal difference learning for rare event prediction NeurIPS 2024