2 papers
cs.LG2025
Bellman operator convergence enhancements in reinforcement learning algorithms
David Krame Kadurha, Domini Jocema Leko Moutouo, Yae Ulrich Gaba
This paper reviews the topological groundwork for the study of reinforcement learning (RL) by focusing on the structure of state, action, and policy spaces. We begin by recalling k…
cs.LG2024
Topological Foundations of Reinforcement Learning
David Krame Kadurha
The goal of this work is to serve as a foundation for deep studies of the topology of state, action, and policy spaces in reinforcement learning. By studying these spaces from a ma…