Arsen Abdulali

2 accepted papers

2025

Reservoir Computing Encodes Physical Adaptations for Reinforcement Learning

Cross Giannetto, Ibragim R. Atadjanov, Fumiya Iida, Arsen Abdulali

ICRA 2025

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

Cited by 1 Source ↗Scholar ↗

2025

Reservoir Computing for Torque-Restricted Pendulum Control

Fan Ye, Timothy Bonner, Arsen Abdulali, Kai-Fung Chu, Fumiya Iida

IROS 2025

Torque-restricted control remains a significant challenge in robotics, often necessitating precise modeling or large amounts of data for effective controller design. To address this problem, we introduce a novel training method that utilizes a Reservoir Computing (RC) framework to serve as a model-f

Cited by 1 Source ↗Scholar ↗