| Multi-Agent Game Abstraction via Graph Attention Neural Network Y Liu*, W Wang*, Y Hu, J Hao, X Chen, Y Gao AAAI 2020, 2020 | 287 | 2020 |
| 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 | 210 | 2020 |
| The 37 implementation details of proximal policy optimization S Huang, RFJ Dossa, A Raffin, A Kanervisto, W Wang ICLR Blog Track, 2022 | 130 | 2022 |
| 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, 2020 | 128 | 2020 |
| Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-agent Reinforcement Learning J Hu, W Siying, S Jiang, W Wang ICLR Blogposts, 2023 | 102 | 2023 |
| 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 | 59* | 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 | 44* | 2021 |
| 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, 2020 | 42 | 2020 |
| MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library S Hu, Y Zhong, M Gao, W Wang, H Dong, X Liang, Z Li, X Chang, Y Yang Journal of Machine Learning Research 24 (315), 1-23, 2023 | 40* | 2023 |
| 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 | 40 | 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 | 39 | 2020 |
| Individual Reward Assisted Multi-Agent Reinforcement Learning L Wang, Y Zhang, Y Hu, W Wang, C Zhang, Y Gao, J Hao, T Lv, C Fan International Conference on Machine Learning, 23417-23432, 2022 | 38 | 2022 |
| Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks HAO Jianye, X Hao, H Mao, W Wang, Y Yang, D Li, Y Zheng, Z Wang The Eleventh International Conference on Learning Representations, 2023 | 37* | 2023 |
| 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 | 29 | 2022 |
| 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 | 29 | 2019 |
| Cooperative Multi-Agent Transfer Learning with Coalition Pattern Decomposition T Zhou, F Zhang, K Shao, Z Dai, K Li, W Huang, W Wang, B Wang, D Li, ... IEEE Transactions on Games, 2023 | 25* | 2023 |
| 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, 81-91, 2020 | 22 | 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 | 22* | 2019 |
| The N+ Implementation Details of RLHF with PPO: A Case Study on TL; DR Summarization S Huang, M Noukhovitch, A Hosseini, K Rasul, W Wang, L Tunstall arXiv preprint arXiv:2403.17031, 2024 | 18 | 2024 |
| Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing Y Yang, G Chen, W Wang, X Hao, HAO Jianye, PA Heng Advances in Neural Information Processing Systems, 2022 | 17 | 2022 |