Weixun Wang
Weixun Wang
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Multi-Agent Game Abstraction via Graph Attention Neural Network
Y Liu*, W Wang*, Y Hu, J Hao, X Chen, Y Gao
AAAI 2020, 2019
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning
W Wang, T Yang, Y Liu, J Hao, X Hao, Y Hu, Y Chen, C Fan, Y Gao
AAAI 2020, 2019
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping
Y Hu, W Wang, H Jia, Y Wang, Y Chen, J Hao, F Wu, C Fan
Advances in Neural Information Processing Systems 33, 2020
Achieving cooperation through deep multiagent reinforcement learning in sequential prisoner's dilemmas
W Wang, J Hao, Y Wang, M Taylor
Proceedings of the First International Conference on Distributed Artificial …, 2019
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems
W Wang, T Yang, Y Liu, J Hao, X Hao, Y Hu, Y Chen, C Fan, Y Gao
ICLR 2020, 2019
Background-free upconversion-encoded microspheres for mycotoxin detection based on a rapid visualization method
M Yang, M Cui, W Wang, Y Yang, J Chang, J Hao, H Wang
Analytical and bioanalytical chemistry 412 (1), 81-91, 2020
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge
P Zhang, J Hao, W Wang, H Tang, Y Ma, Y Duan, Y Zheng
IJCAI2020, 2020
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer
T Yang, J Hao, Z Meng, Z Zhang, Y Hu, Y Chen, C Fan, W Wang, W Liu, ...
IJCAI 2020, 2020
Learning Adaptive Display Exposure for Real-Time Advertising
W Wang, J Jin, J Hao, C Chen, C Yu, W Zhang, J Wang, X Hao, Y Wang, ...
CIKM 2019, 2019
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems
X Hao*, W Wang*, J Hao, Y Yang
Proceedings of the 18th International Conference on Autonomous Agents and …, 2019
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
T Yang*, W Wang*, H Tang*, HAO Jianye, Z Meng, H Mao, D Li, W Liu, ...
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
Efficient Deep Reinforcement Learning through Policy Transfer.
T Yang, J Hao, Z Meng, Z Zhang, Y Hu, Y Chen, C Fan, W Wang, Z Wang, ...
AAMAS, 2053-2055, 2020
The 37 implementation details of proximal policy optimization
S Huang, RFJ Dossa, A Raffin, A Kanervisto, W Wang
ICLR Blog Track, 2022
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment
T Zhou, F Zhang, K Shao, K Li, W Huang, J Luo, W Wang, Y Yang, H Mao, ...
arXiv preprint arXiv:2106.00517, 2021
Learning when to transfer among agents: An efficient multiagent transfer learning framework
T Yang, W Wang, H Tang, J Hao, Z Meng, W Liu, Y Hu, Y Chen
arXiv preprint ArXiv:2002.08030 46, 55, 2020
Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed Agents
J Zhao, Y Zhao, W Wang, M Yang, X Hu, W Zhou, J Hao, H Li
arXiv preprint arXiv:2203.08454, 2022
API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks
X Hao, W Wang, H Mao, Y Yang, D Li, Y Zheng, Z Wang, J Hao
arXiv preprint arXiv:2203.05285, 2022
Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization
J Zhao, Y Zhang, X Hu, W Wang, W Zhou, J Hao, J Zhu, H Li
arXiv preprint arXiv:2202.04427, 2022
Off-Beat Multi-Agent Reinforcement Learning
W Qiu, W Wang, R Wang, B An, Y Hu, S Obraztsova, Z Rabinovich, J Hao, ...
arXiv preprint arXiv:2205.13718, 2022
A2C is a special case of PPO
S Huang, A Kanervisto, A Raffin, W Wang, S Ontañón, RFJ Dossa
arXiv preprint arXiv:2205.09123, 2022
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