PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation J Shao, Y Jiang, G Wang, Z Li, X Ji Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 43 | 2020 |
Wasserstein Unsupervised Reinforcement Learning S He, Y Jiang, H Zhang, J Shao, X Ji Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6884-6892, 2022 | 28 | 2022 |
Self-Organized Group for Cooperative Multi-agent Reinforcement Learning J Shao, Z Lou, H Zhang, Y Jiang, S He, X Ji Advances in Neural Information Processing Systems 35, 5711-5723, 2022 | 26 | 2022 |
State Deviation Correction for Offline Reinforcement Learning H Zhang, J Shao, Y Jiang, S He, G Zhang, X Ji Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 9022-9030, 2022 | 18 | 2022 |
Near-optimal regret bounds for multi-batch reinforcement learning Z Zhang, Y Jiang, Y Zhou, X Ji Advances in Neural Information Processing Systems 35, 24586-24596, 2022 | 14 | 2022 |
Credit Assignment with Meta-Policy Gradient for Multi-Agent Reinforcement Learning J Shao, H Zhang, Y Jiang, S He, X Ji arXiv preprint arXiv:2102.12957, 2021 | 10 | 2021 |
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks Y Qu, B Wang, J Shao, Y Jiang, C Chen, Z Ye, L Linc, Y Feng, L Lai, H Qin, ... Advances in Neural Information Processing Systems 36, 2024 | 8 | 2024 |
Complementary attention for multi-agent reinforcement learning J Shao, H Zhang, Y Qu, C Liu, S He, Y Jiang, X Ji International Conference on Machine Learning, 30776-30793, 2023 | 8 | 2023 |
Reducing Conservativeness Oriented Offline Reinforcement Learning H Zhang, J Shao, Y Jiang, S He, X Ji arXiv preprint arXiv:2103.00098, 2021 | 7 | 2021 |
LLM-Empowered State Representation for Reinforcement Learning B Wang, Y Qu, Y Jiang, J Shao, C Liu, W Yang, X Ji Forty-first International Conference on Machine Learning, 0 | 5* | |
DARL: Distance-Aware Uncertainty Estimation for Offline Reinforcement Learning H Zhang, J Shao, S He, Y Jiang, X Ji Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 11210 …, 2023 | 3 | 2023 |
SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning Y Jiang, J Shao, S He, H Zhang, X Ji Advances in Neural Information Processing Systems 35, 20661-20674, 2022 | 2 | 2022 |
Unsupervised reinforcement learning method and apparatus based on Wasserstein distance X Ji, S He, Y Jiang US Patent 11,823,062, 2023 | | 2023 |
Consciousness-Aware Multi-Agent Reinforcement Learning J Shao, H Zhang, Y Qu, C Liu, S He, Y Jiang, X Ji | | 2022 |
Pessimistic Policy Iteration for Offline Reinforcement Learning H Zhang, B Wang, Y Mao, J Shao, Y Jiang, Y Xu, X Ji | | 2022 |
Unsupervised Data Generation for Offline Reinforcement Learning: A Perspective from Model S He, H Zhang, J Shao, Y Jiang, X Ji | | |