Ho, Kuo-Hao

1. PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping
   2023/12/19 by Huang, Nai-Chieh, Hsieh, Ping-Chun, Ho, Kuo-Hao +1 · 8 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
2. Residual Scheduling: A New Reinforcement Learning Approach to Solving Job Shop Scheduling Problem
   2023/09/27 by Kuo‐Hao Ho, Ho, Kuo-Hao, Ruei-Yu Jheng +11 · 3 citations
   Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Elevator Systems and Control #FOS: Computer and information sciences #Reinforcement Learning in Robotics #Scheduling and Optimization Algorithms
3. Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games
   2023/09/27 by Ho, Kuo-Hao, Hsieh, Ping-Chun, Lin, Chiu-Chou +3 · 2 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
4. Neural PPO-Clip Attains Global Optimality: A Hinge Loss Perspective
   2021/10/26 by Nai-Chieh Huang, Huang, Nai-Chieh, Ping-Chun Hsieh +11 · 1 citation
   Computer Science · #Advanced Multi-Objective Optimization Algorithms #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics