DA-RL: decoupled attention-enhanced visual feature reinforcement learning for optimised decision-making in cyber-physical systems
In dynamic and complex environments, visual reinforcement learning (Visual RL) agents struggle to extract task-relevant information, achieve stable policy optimisation, and generalise across changing conditions. This paper proposes DA-RL, an attention-enhanced and decoupled reinforcement learning framework for cyber-ph...