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Redeeming Intrinsic Rewards via Constrained Optimization


Nov 18, 2022
Eric Chen, Zhang-Wei Hong, Joni Pajarinen, Pulkit Agrawal

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* NeurIPS 2022 

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Model Predictive Control via On-Policy Imitation Learning


Oct 17, 2022
Kwangjun Ahn, Zakaria Mhammedi, Horia Mania, Zhang-Wei Hong, Ali Jadbabaie

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* 26 pages 

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Bilinear value networks


Apr 28, 2022
Zhang-Wei Hong, Ge Yang, Pulkit Agrawal

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Topological Experience Replay


Mar 29, 2022
Zhang-Wei Hong, Tao Chen, Yen-Chen Lin, Joni Pajarinen, Pulkit Agrawal

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Stubborn: A Strong Baseline for Indoor Object Navigation


Mar 14, 2022
Haokuan Luo, Albert Yue, Zhang-Wei Hong, Pulkit Agrawal

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Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture


May 30, 2021
Chin-Jui Chang, Yu-Wei Chu, Chao-Hsien Ting, Hao-Kang Liu, Zhang-Wei Hong, Chun-Yi Lee

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Mixture of Step Returns in Bootstrapped DQN


Jul 16, 2020
Po-Han Chiang, Hsuan-Kung Yang, Zhang-Wei Hong, Chun-Yi Lee

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Periodic Intra-Ensemble Knowledge Distillation for Reinforcement Learning


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

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* 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

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* 7 pages, accepted by IJCAI-18 

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