Abstract: This paper presents a data-driven iterative learning control (ILC) framework to tackle the critical challenge of achieving dynamic symmetry and trajectory ...

Abstract: Offline reinforcement learning (RL) learns policies from fixed-size datasets without interacting with the environment, while multi-agent reinforcement learning (MARL) faces challenges from ...