Yanguo Jing

F-DRL: Federated Dynamics Representation Learning for Robust Multi-Task Reinforcement Learning

2026 · Information

Reinforcement learning for robotic manipulation is often limited by poor sample efficiency and unstable training dynamics, challenges that are further amplified in federated settings due to data privacy constraints and task heterogeneity. To address these …