conftrace_

temporal-difference learning

42 papers

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Also known as

TD LEARNING

Co-occurring keywords

reinforcement learning (4352) policy evaluation (115) off-policy learning (228) markov decision process (790) value function (295) function approximation (319) temporal difference learning (149) eligibility trace (22) deep reinforcement learning (903) convergence analysis (395)

Papers

DialogXpert: Driving Intelligent and Emotion-Aware Conversations Through Online Value-Based Reinforcement Learning with LLM Priors AAAI 2026
Temporal-Difference Learning Using Distributed Error Signals NIPS 2024
Learning Successor Features the Simple Way NIPS 2024
Variational Delayed Policy Optimization NIPS 2024
Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation ICCV 2023
Emergent Agentic Transformer from Chain of Hindsight Experience ICML 2023
Learning Pessimism for Reinforcement Learning AAAI 2023
The Statistical Benefits of Quantile Temporal-Difference Learning for Value Estimation ICML 2023
TD Convergence: An Optimization Perspective NIPS 2023
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels ICML 2022
A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning NIPS 2022
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks ICML 2022
Temporally-Consistent Survival Analysis NIPS 2022
A Temporal-Difference Approach to Policy Gradient Estimation ICML 2022
Preferential Temporal Difference Learning ICML 2021
Non-Asymptotic Analysis for Two Time-scale TDC with General Smooth Function Approximation NIPS 2021
Learning and Planning in Average-Reward Markov Decision Processes ICML 2021
Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic NIPS 2021
Expected Eligibility Traces AAAI 2021
Gaussian Approximation for Bias Reduction in Q-Learning JMLR 2021
Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis NIPS 2020
Discovering Reinforcement Learning Algorithms NIPS 2020
Discount Factor as a Regularizer in Reinforcement Learning ICML 2020
Finite-Time Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation AISTATS 2020
Gradient Temporal-Difference Learning with Regularized Corrections ICML 2020