| Learning attentional communication for multi-agent cooperation J Jiang, Z Lu Advances in neural information processing systems 31, 2018 | 531 | 2018 |
| Graph convolutional reinforcement learning J Jiang, C Dun, T Huang, Z Lu arXiv preprint arXiv:1810.09202, 2018 | 432 | 2018 |
| Towards human-level bimanual dexterous manipulation with reinforcement learning Y Chen, T Wu, S Wang, X Feng, J Jiang, Z Lu, S McAleer, H Dong, ... Advances in Neural Information Processing Systems 35, 5150-5163, 2022 | 72 | 2022 |
| Learning fairness in multi-agent systems J Jiang, Z Lu Advances in Neural Information Processing Systems 32, 2019 | 68 | 2019 |
| The emergence of individuality J Jiang, Z Lu International Conference on Machine Learning, 4992-5001, 2021 | 41* | 2021 |
| Offline Decentralized Multi-Agent Reinforcement Learning. J Jiang, Z Lu ECAI, 1148-1155, 2023 | 35 | 2023 |
| Model-based opponent modeling X Yu, J Jiang, W Zhang, H Jiang, Z Lu Advances in Neural Information Processing Systems 35, 28208-28221, 2022 | 26 | 2022 |
| I2Q: A fully decentralized Q-learning algorithm J Jiang, Z Lu Advances in Neural Information Processing Systems 35, 20469-20481, 2022 | 14 | 2022 |
| MA2QL: A minimalist approach to fully decentralized multi-agent reinforcement learning K Su, S Zhou, J Jiang, C Gan, X Wang, Z Lu arXiv preprint arXiv:2209.08244, 2022 | 10 | 2022 |
| Towards general computer control: A multimodal agent for red dead redemption ii as a case study W Tan, Z Ding, W Zhang, B Li, B Zhou, J Yue, H Xia, J Jiang, L Zheng, ... arXiv preprint arXiv:2403.03186, 2024 | 9 | 2024 |
| Generative exploration and exploitation J Jiang, Z Lu Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4337-4344, 2020 | 6 | 2020 |
| A survey on game playing agents and large models: Methods, applications, and challenges X Xu, Y Wang, C Xu, Z Ding, J Jiang, Z Ding, BF Karlsson arXiv preprint arXiv:2403.10249, 2024 | 4 | 2024 |
| Online tuning for offline decentralized multi-agent reinforcement learning J Jiang, Z Lu Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8050-8059, 2023 | 4 | 2023 |
| Learning from visual observation via offline pretrained state-to-go transformer B Zhou, K Li, J Jiang, Z Lu Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Best Possible Q-Learning J Jiang, Z Lu arXiv preprint arXiv:2302.01188, 2023 | 2 | 2023 |
| Adaptive Learning Rates for Multi-Agent Reinforcement Learning J Jiang, Z Lu | 1 | 2023 |
| Multi-Agent Alternate Q-Learning K Su, S Zhou, J Jiang, C Gan, X Wang, Z Lu Proceedings of the 23rd International Conference on Autonomous Agents and …, 2024 | | 2024 |
| Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey J Jiang, K Su, Z Lu arXiv preprint arXiv:2401.04934, 2024 | | 2024 |
| Model-Based Decentralized Policy Optimization H Luo, J Jiang, Z Lu arXiv preprint arXiv:2302.08139, 2023 | | 2023 |
| Opponent Modeling based on Sub-Goal Inference XP Yu, J Jiang, Z Lu | | |
