Periodic Intra-Ensemble Knowledge Distillation for Reinforcement Learning

Feb 01, 2020
Zhang-Wei Hong, Prabhat Nagarajan, Guilherme Maeda

* 8 pages 

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Model-based Lookahead Reinforcement Learning

Aug 15, 2019
Zhang-Wei Hong, Joni Pajarinen, Jan Peters


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Virtual-to-Real: Learning to Control in Visual Semantic Segmentation

Oct 28, 2018
Zhang-Wei Hong, Chen Yu-Ming, Shih-Yang Su, Tzu-Yun Shann, Yi-Hsiang Chang, Hsuan-Kung Yang, Brian Hsi-Lin Ho, Chih-Chieh Tu, Yueh-Chuan Chang, Tsu-Ching Hsiao, Hsin-Wei Hsiao, Sih-Pin Lai, Chun-Yi Lee

* 7 pages, accepted by IJCAI-18 

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Diversity-Driven Exploration Strategy for Deep Reinforcement Learning

Oct 28, 2018
Zhang-Wei Hong, Tzu-Yun Shann, Shih-Yang Su, Yi-Hsiang Chang, Chun-Yi Lee


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Adversarial Exploration Strategy for Self-Supervised Imitation Learning

Jun 26, 2018
Zhang-Wei Hong, Tsu-Jui Fu, Tzu-Yun Shann, Yi-Hsiang Chang, Chun-Yi Lee

* Submitted to NIPS-2018 

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A Deep Policy Inference Q-Network for Multi-Agent Systems

Apr 09, 2018
Zhang-Wei Hong, Shih-Yang Su, Tzu-Yun Shann, Yi-Hsiang Chang, Chun-Yi Lee


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Tactics of Adversarial Attack on Deep Reinforcement Learning Agents

May 23, 2017
Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun

* To Appear at IJCAI 2017. Project website: http://yclin.me/adversarial_attack_RL/ 

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