| Competitive Experience Replay H Liu, A Trott, R Socher, C Xiong International Conference on Learning Representations(ICLR) 2019, 2019 | 77* | 2019 |
| Action-depedent Control Variates for Policy Optimization via Stein's Identity H Liu, Y Feng, Y Mao, D Zhou, J Peng, Q Liu arXiv preprint arXiv:1710.11198, 2017 | 65 | 2017 |
| Taming MAML: Efficient unbiased meta-reinforcement learning H Liu, R Socher, C Xiong International Conference on Machine Learning, 4061-4071, 2019 | 58 | 2019 |
| Variational inference with tail-adaptive f-divergence D Wang, H Liu, Q Liu Advances in Neural Information Processing Systems 31, 2018 | 38 | 2018 |
| Behavior From the Void: Unsupervised Active Pre-Training H Liu, P Abbeel arXiv preprint arXiv:2103.04551, 2021 | 26* | 2021 |
| Structured Inference for Recurrent Hidden Semi-markov Model. H Liu, L He, H Bai, B Dai, K Bai, Z Xu IJCAI, 2447-2453, 2018 | 24 | 2018 |
| Hybrid discriminative-generative training via contrastive learning H Liu, P Abbeel arXiv preprint arXiv:2007.09070, 2020 | 19 | 2020 |
| APS: Active Pretraining with Successor Features H Liu, P Abbeel International Conference on Machine Learning, 6736-6747, 2021 | 14 | 2021 |
| URLB: Unsupervised Reinforcement Learning Benchmark M Laskin, D Yarats, H Liu, K Lee, A Zhan, K Lu, C Cang, L Pinto, P Abbeel arXiv preprint arXiv:2110.15191, 2021 | 6 | 2021 |
| Stochastic sequential neural networks with structured inference H Liu, H Bai, L He, Z Xu arXiv preprint arXiv:1705.08695, 2017 | 5 | 2017 |
| Sample-efficient policy optimization with stein control variate H Liu, Y Feng, Y Mao, D Zhou, J Peng, Q Liu arXiv preprint arXiv:1710.11198, 2017 | 3 | 2017 |
