Regret minimization experience replay in off-policy reinforcement learning XH Liu, Z Xue, J Pang, S Jiang, F Xu, Y Yu Advances in Neural Information Processing Systems 34, 17604-17615, 2021 | 30 | 2021 |
Adapt to environment sudden changes by learning a context sensitive policy FM Luo, S Jiang, Y Yu, Z Zhang, YF Zhang Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7637-7646, 2022 | 22 | 2022 |
Offline Imitation Learning with a Misspecified Simulator S Jiang, J Pang, Y Yu Advances in neural information processing systems 33, 8510-8520, 2020 | 22 | 2020 |
Invariant Action Effect Model for Reinforcement Learning ZM Zhu, S Jiang, YR Liu, Y Yu, K Zhang Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 9260-9268, 2022 | 11 | 2022 |
Cross-modal domain adaptation for cost-efficient visual reinforcement learning XH Chen, S Jiang, F Xu, Z Zhang, Y Yu Advances in Neural Information Processing Systems 34, 12520-12532, 2021 | 11 | 2021 |
Experimental and numerical study on the magnetization process of roebel cable segments Y Yan, P Song, S Jiang, J Zhu, H Zhang, Y Zhu, R Liu, Y Li, F Feng, ... IEEE Transactions on Applied Superconductivity 29 (5), 1-5, 2019 | 10 | 2019 |
Hybrid value estimation for off-policy evaluation and offline reinforcement learning XK Jin, XH Liu, S Jiang, Y Yu arXiv preprint arXiv:2206.02000, 2022 | 5 | 2022 |
How to guide your learner: Imitation learning with active adaptive expert involvement XH Liu, F Xu, X Zhang, T Liu, S Jiang, R Chen, Z Zhang, Y Yu arXiv preprint arXiv:2303.02073, 2023 | 3 | 2023 |
Enhancing context-based meta-reinforcement learning algorithms via an efficient task encoder (student abstract) F Xu, S Jiang, H Yin, Z Zhang, Y Yu, M Li, D Li, W Liu Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15937 …, 2021 | 3 | 2021 |
Sparsity Prior Regularized Q-learning for Sparse Action Tasks JC Pang, T Xu, S Jiang, YR Liu, Y Yu arXiv preprint arXiv:2105.08666, 2021 | 1 | 2021 |
Foresight Distribution Adjustment for Off-policy Reinforcement Learning R Chen, XH Liu, TS Liu, S Jiang, F Xu, Y Yu Proceedings of the 23rd International Conference on Autonomous Agents and …, 2024 | | 2024 |
Greedy Implicit Bounded Quantification C Cui, S Jiang, BCS Oliveira Proceedings of the ACM on Programming Languages 7 (OOPSLA2), 2083-2111, 2023 | | 2023 |
Reinforcement Learning With Sparse-Executing Actions via Sparsity Regularization JC Pang, T Xu, S Jiang, YR Liu, Y Yu arXiv preprint arXiv:2105.08666, 2021 | | 2021 |