Ibragim R. Atadjanov

Reservoir Computing Encodes Physical Adaptations for Reinforcement Learning

Adapting reinforcement learning (RL) policies to various robot body configurations is a significant challenge for creating flexible autonomous systems. This study presents a novel framework that integrates Reservoir Computing (RC) with the First-Order Reduced and Controlled Error (FORCE) learning ru