"temporal difference learning" Papers

A General-Purpose Theorem for High-Probability Bounds of Stochastic Approximation with Polyak Averaging

Sajad Khodadadian, Martin Zubeldia

Fast and Slow Streams for Online Time Series Forecasting Without Information Leakage

Ying-yee Ava Lau, Zhiwen Shao, Dit-Yan Yeung

On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations

GUOJUN XIONG, Shufan Wang, Daniel Jiang et al.

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning

Ruiqi Ni, zherong pan, Ahmed Hussain Qureshi

Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining

Jie Cheng, Ruixi Qiao, ma yingwei et al.

Temporal Difference Learning: Why It Can Be Fast and How It Will Be Faster

Patrick Schnell, Luca Guastoni, Nils Thuerey

Transformers Can Learn Temporal Difference Methods for In-Context Reinforcement Learning

Jiuqi Wang, Ethan Blaser, Hadi Daneshmand et al.

An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks

Zhifa Ke, Zaiwen Wen, Junyu Zhang

ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL

Yifei Zhou, Andrea Zanette, Jiayi Pan et al.

Discerning Temporal Difference Learning

Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation

Yudan Wang, Yue Wang, Yi Zhou et al.

Pausing Policy Learning in Non-stationary Reinforcement Learning

Hyunin Lee, Ming Jin, Javad Lavaei et al.