Segui
Zhang-Wei Hong
Titolo
Citata da
Citata da
Anno
Tactics of adversarial attack on deep reinforcement learning agents
YC Lin, ZW Hong, YH Liao, ML Shih, MY Liu, M Sun
Proceedings of the 26th International Joint Conference on Artificialá…, 2017
2932017
A deep policy inference q-network for multi-agent systems
ZW Hong, SY Su, TY Shann, YH Chang, CY Lee
arXiv preprint arXiv:1712.07893, 2017
752017
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning
ZW Hong, TY Shann, SY Su, YH Chang, CY Lee
Proceedings of the 32nd Conference on Neural Information Processing Systems, 2018
642018
Virtual-to-Real: Learning to Control in Visual Semantic Segmentation
ZW Hong, C Yu-Ming, SY Su, TY Shann, YH Chang, HK Yang, BHL Ho, ...
Proceedings of the 27th International Joint Conference on Artificialá…, 2018
632018
Model-based lookahead reinforcement learning
ZW Hong, J Pajarinen, J Peters
arXiv preprint arXiv:1908.06012, 2019
82019
Periodic Intra-ensemble Knowledge Distillation for Reinforcement Learning
ZW Hong, P Nagarajan, G Maeda
Joint European Conference on Machine Learning and Knowledge Discovery iná…, 2021
22021
Adversarial Active Exploration for Inverse Dynamics Model Learning
ZW Hong, TJ Fu, TY Shann, YH Chang, CY Lee
Proceedings of the 3rd Conference on Robot Learning, 2019
22019
Bilinear value networks
ZW Hong, G Yang, P Agrawal
arXiv preprint arXiv:2204.13695, 2022
12022
Topological Experience Replay
ZW Hong, T Chen, YC Lin, J Pajarinen, P Agrawal
arXiv preprint arXiv:2203.15845, 2022
12022
Collaborative Inter-agent Knowledge Distillation for Reinforcement Learning
ZW Hong, P Nagarajan, G Maeda
12019
Stubborn: A Strong Baseline for Indoor Object Navigation
H Luo, A Yue, ZW Hong, P Agrawal
arXiv preprint arXiv:2203.07359, 2022
2022
Bi-linear Value Networks for Multi-goal Reinforcement Learning
ZW Hong, G Yang, P Agrawal
International Conference on Learning Representations, 2021
2021
Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture
CJ Chang, YW Chu, CH Ting, HK Liu, ZW Hong, CY Lee
2021 IEEE International Conference on Robotics and Automation (ICRA), 4762-4768, 2021
2021
Topological Experience Replay for Fast Q-Learning
ZW Hong, T Chen, YC Lin, J Pajarinen, P Agrawal
2021
Mixture of Step Returns in Bootstrapped DQN
PH Chiang, HK Yang, ZW Hong, CY Lee
arXiv preprint arXiv:2007.08229, 2020
2020
Toward Synergism in Macro Action Ensembles
YM Chen, KY Chang, C Liu, TC Hsiao, ZW Hong, CY Lee
2020
A Self-Supervised Method for Mapping Human Instructions to Robot Policies
HW Yu, PY Wu, CA Tsao, YA Shen, SH Lin, ZW Hong, YH Chang, CY Lee
2018
A Deep Policy Inference Q-Network for Multi-Agent Systems Download PDF
ZW Hong, SY Su, TY Shann, YH Chang, CY Lee
Swarm-inspired Reinforcement Learning via Collaborative Inter-agent Knowledge Distillation
ZW Hong, P Nagarajan, G Maeda
Sim-to-Real: Autonomous Robotic Control
ZW Hong, YM Chen, H Yang, HW Hsiao, SP Lai
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
Articoli 1–20