Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization

Chenbei Lu; Laixi Shi; Zaiwei Chen; Chenye Wu; Adam Wierman

2025 ICML ICML 2025

Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Reinforcement Learning

Authors

Chenbei Lu, Laixi Shi, Zaiwei Chen, Chenye Wu, Adam Wierman

Topics

Machine Learning > Optimization & Theory > Optimization Reinforcement Learning > Methods > Policy Learning Reinforcement Learning > Methods > Model-Based RL

Keywords

model-based algorithm model-free algorithm variance-reduced q-learning approximate factorization graph-coloring-based optimal synchronous sampling near-minimax sample complexity

Download PDF