Reinforcement learning with distance-based incentive/penalty (DIP) updates for highly constrained industrial control systems

Hyungjun Park, Daiki Min, Jong-hyun Ryu +1

Typical reinforcement learning (RL) methods show limited applicability for real-world industrial control problems because industrial systems involve various constraints and simulta…