A Deep Policy Inference Q-Network for Multi-Agent Systems. - Zhang-Wei Hong; Shih-Yang Su; Tzu-Yun Shann; Yi-Hsiang Chang; Chun-Yi Lee (AAMAS, 2018)

Diversity-Driven Exploration Strategy for Deep Reinforcement Learning. - Zhang-Wei Hong; Tzu-Yun Shann; Shih-Yang Su; Yi-Hsiang Chang; Chun-Yi Lee (ICLR (Workshop), 2018)

Virtual-to-Real: Learning to Control in Visual Semantic Segmentation. - Zhang-Wei Hong; Yu-Ming Chen 002; Hsuan-Kung Yang; Shih-Yang Su; Tzu-Yun Shann; Yi-Hsiang Chang; Brian Hsi-Lin Ho; Chih-Chieh Tu; Tsu-Ching Hsiao; Hsin-Wei Hsiao; Sih-Pin Lai; Yueh-Chuan Chang; et al. (IJCAI, 2018)

Diversity-Driven Exploration Strategy for Deep Reinforcement Learning. - Zhang-Wei Hong; Tzu-Yun Shann; Shih-Yang Su; Yi-Hsiang Chang; Tsu-Jui Fu; Chun-Yi Lee (NeurIPS, 2018)

MapReduce-based pattern classification for design space analysis. - Yan-Shiun Wu; Hong-Yan Su; Yi-Hsiang Chang; Rasit Onur Topaloglu; Yih-Lang Li (VLSI-DAT, 2018)

Adversarial Exploration Strategy for Self-Supervised Imitation Learning. - Zhang-Wei Hong; Tsu-Jui Fu; Tzu-Yun Shann; Yi-Hsiang Chang; Chun-Yi Lee (CoRR, 2018)

Construction of Macro Actions for Deep Reinforcement Learning. - Yi-Hsiang Chang; Kuan-Yu Chang; Henry Kuo; Chun-Yi Lee (CoRR, 2019)

Reusability and Transferability of Macro Actions for Reinforcement Learning. - Yi-Hsiang Chang; Kuan-Yu Chang; Henry Kuo; Chun-Yi Lee (ACM Trans. Evol. Learn. Optim., 2022)