2 papers
cs.AI2020
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…
eess.SY2020
Delayed Q-update: A novel credit assignment technique for deriving an optimal operation policy for the Grid-Connected Microgrid
Hyungjun Park, Daiki Min, Jong-hyun Ryu +1
A microgrid is an innovative system that integrates distributed energy resources to supply electricity demand within electrical boundaries. This study proposes an approach for deri…