| Learn goal-conditioned policy with intrinsic motivation for deep reinforcement learning J Liu, D Wang, Q Tian, Z Chen Proceedings of the AAAI conference on artificial intelligence 36 (7), 7558-7566, 2022 | 18 | 2022 |
| Independent skill transfer for deep reinforcement learning Q Tian, G Wang, J Liu, D Wang, Y Kang Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 15 | 2021 |
| Unsupervised domain adaptation with dynamics-aware rewards in reinforcement learning J Liu, H Shen, D Wang, Y Kang, Q Tian Advances in Neural Information Processing Systems 34, 28784-28797, 2021 | 13 | 2021 |
| Unsupervised discovery of transitional skills for deep reinforcement learning Q Tian, J Liu, G Wang, D Wang 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 11 | 2021 |
| Time series prediction with interpretable data reconstruction Q Tian, J Liu, D Wang, A Tang Proceedings of the 28th ACM International Conference on Information and …, 2019 | 6 | 2019 |
| Preferential experience collection with frequency based intrinsic reward for deep reinforcement learning H Zhang, Q Tian, D Wang, K Wei 2020 IEEE 32nd International Conference on Tools with Artificial …, 2020 | 1 | 2020 |
| Multivariate time series prediction with PID-based residual compensation J Liu, Q Tian, D Wang 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 1 | 2020 |
| Learning transitional skills with intrinsic motivation Q Tian, J Liu, D Wang | 1 | 2019 |
