Wu, I-Chen

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 · 7 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, Ruei-Yu Jheng, Ho, Kuo-Hao +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. Are AlphaZero-like Agents Robust to Adversarial Perturbations?
   2022/11/07 by Lan, Li-Cheng, Zhang, Huan, Wu, Ti-Rong +3 · 3 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
4. Multi-Stage Temporal Difference Learning for 2048-like Games
   2016/06/23 by K. L. Yeh, Yeh, Kun-Hao, I‐Chen Wu +9 · 1 citation
   Computer Science · #Artificial Intelligence in Games #Reinforcement Learning in Robotics #Evolutionary Algorithms and Applications
5. Sim-To-Real Transfer for Miniature Autonomous Car Racing
   2020/11/11 by Chu, Yeong-Jia Roger, Wei, Ting-Han, Huang, Jin-Bo +2 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
6. 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
7. Multi-Agent Training for Pommerman: Curriculum Learning and Population-based Self-Play Approach
   2024/06/30 by Huynh, Nhat-Minh, Cao, Hoang-Giang, Wu, I-Chen · 2 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Multiagent Systems (cs.MA)
8. Multi-Labelled Value Networks for Computer Go
   2017/05/30 by Ti-Rong Wu, I‐Chen Wu, Wu, Ti-Rong +11 · 1 citation
   Computer Science · Psychology · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Digital Games and Media #Educational Games and Gamification #FOS: Computer and information sciences #Machine Learning (cs.LG)
9. 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
10. A Novel Approach to Solving Goal-Achieving Problems for Board Games
    2021/12/05 by Chung-Chin Shih, Shih, Chung-Chin, Ti-Rong Wu +5 · 2 citations
    Computer Science · Economics, Econometrics and Finance · Psychology · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Educational Games and Gamification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Sports Analytics and Performance
11. Accelerating and Improving AlphaZero Using Population Based Training
    2020/03/13 by Ti-Rong Wu, Ting-Han Wei, Wu, Ti-Rong +3 · 1 citation
    Computer Science · Economics, Econometrics and Finance · Social Sciences · #Artificial Intelligence in Games #Sports Analytics and Performance #Digital Games and Media
12. Gradient-based Regularization for Action Smoothness in Robotic Control with Reinforcement Learning
    2024/07/05 by Lee, I, Cao, Hoang-Giang, Dao, Cong-Tinh +2 · 1 citation
    #FOS: Computer and information sciences #Robotics (cs.RO)