2025
Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization
ICML 2025poster
Factored Markov Decision Processes (FMDPs) offer a promising framework for overcoming the curse of dimensionality in reinforcement learning (RL) by decomposing high-dimensional MDPs into smaller and independently evolving components. Despite their potential, existing studies on FMDPs face three key…