2025
Learning Human-Like RL Agents Through Trajectory Optimization With Action Quantization
Jian-Ting Guo et al. NeurIPS 2025 Main Track. Project
Jian-Ting Guo
Direct-entry Ph.D. Student
Institute of Computer Science and Engineering
National Yang Ming Chiao Tung University, Taiwan
My interests include reinforcement learning, game AI, robotics, human-like decision making, and model-based reinforcement learning.
Selected Publication · NeurIPS 2025
Learning Human-Like RL Agents Through Trajectory Optimization With Action Quantization
MAQ learns reusable macro actions from human demonstrations and integrates them with off-the-shelf reinforcement learning algorithms to improve the human-likeness of learned control behavior.
Jian-Ting Guo, Yu-Cheng Chen, Ping-Chun Hsieh, Kuo-Hao Ho, Po-Wei Huang, Ti-Rong Wu, I-Chen Wu.
Publications
Recent publications
Full bibliographic details and links are available on the publications page.
2025
Evaluating Game Difficulty in Tetris Block Puzzle
Chun-Jui Wang, Jian-Ting Guo et al. 30th Game Programming Workshop.