| Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning T Zhang, S Guo, T Tan, X Hu, F Chen Advances in Neural Information Processing Systems 33, 2020 | 83 | 2020 |
| Hierarchical Bayesian inference and learning in spiking neural networks S Guo, Z Yu, F Deng, X Hu, F Chen IEEE transactions on cybernetics 49 (1), 133-145, 2017 | 44 | 2017 |
| Emergent inference of hidden markov models in spiking neural networks through winner-take-all Z Yu, S Guo, F Deng, Q Yan, K Huang, JK Liu, F Chen IEEE Transactions on Cybernetics 50 (3), 1347-1354, 2018 | 24 | 2018 |
| Generative memory for lifelong learning X Su, S Guo, T Tan, F Chen IEEE transactions on neural networks and learning systems 31 (6), 1884-1898, 2019 | 23 | 2019 |
| Adjacency constraint for efficient hierarchical reinforcement learning T Zhang, S Guo, T Tan, X Hu, F Chen IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4152-4166, 2022 | 14 | 2022 |
| CRIL: Continual robot imitation learning via generative and prediction model C Gao, H Gao, S Guo, T Zhang, F Chen 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 11 | 2021 |
| Orientation-preserving rewards’ balancing in reinforcement learning J Ren, S Guo, F Chen IEEE Transactions on Neural Networks and Learning Systems 33 (11), 6458-6472, 2021 | 8 | 2021 |
| Task understanding from confusing multi-task data X Su, Y Jiang, S Guo, F Chen International Conference on Machine Learning, 9177-9186, 2020 | 8 | 2020 |
| Learning effective subgoals with multi-task hierarchical reinforcement learning D Chen, Q Yan, S Guo, Z Yang, X Su, F Chen Scaling-Up Reinforcement Learning (SURL) Workshop. URl: http://surl. tirl …, 2019 | 6 | 2019 |
| State-temporal compression in reinforcement learning with the reward-restricted geodesic metric S Guo, Q Yan, X Su, X Hu, F Chen IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5572-5589, 2021 | 5 | 2021 |
| Cycle representation-disentangling network: learning to completely disentangle spatial-temporal features in video P Sun, X Su, S Guo, F Chen Applied Intelligence 50 (12), 4261-4280, 2020 | 5 | 2020 |
| Primitive-contrastive network: data-efficient self-supervised learning from robot demonstration videos P Sun, Z Yang, T Zhang, S Guo, F Chen Applied Intelligence, 1-16, 2022 | 3 | 2022 |
| Subjectivity learning theory towards artificial general intelligence X Su, S Guo, F Chen arXiv preprint arXiv:1909.03798, 2019 | 3 | 2019 |
| Fast counterfactual inference for history-based reinforcement learning H Gao, T Zhang, Z Yang, Y Guo, J Ren, S Guo, F Chen Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7613-7623, 2023 | 2 | 2023 |
| Transferable Environment Model With Disentangled Dynamics Q Yan, S Guo, D Chen, Z Yang, F Chen IEEE Access 7, 106848-106860, 2019 | 2 | 2019 |
| Biologically plausible variational policy gradient with spiking recurrent winner-take-all networks Z Yang, S Guo, Y Fang, JK Liu arXiv preprint arXiv:2210.13225, 2022 | 1 | 2022 |
| Partial Consistency for Stabilizing Undiscounted Reinforcement Learning H Gao, Z Yang, T Tan, T Zhang, J Ren, P Sun, S Guo, F Chen IEEE Transactions on Neural Networks and Learning Systems 34 (12), 10359-10373, 2022 | 1 | 2022 |
| Hierarchical reinforcement learning from imperfect demonstrations through reachable coverage-based subgoal filtering Y Tang, S Guo, J Liu, B Wan, L An, JK Liu Knowledge-Based Systems 294, 111736, 2024 | | 2024 |
| PAC-Bayesian offline Meta-reinforcement learning Z Sun, C Jing, S Guo, L An Applied Intelligence 53 (22), 27128-27147, 2023 | | 2023 |
| Subjective Learning for Conflicting Data T Zhang, Y Jiang, X Su, S Guo, C Gao, F Chen ICLR Workshop on Agent Learning in Open-Endedness, 0 | | |
Tianren ZhangTsinghua University在 mails.tsinghua.edu.cn 的电子邮件经过验证
