Behavior From the Void: Unsupervised Active Pre-Training H Liu, P Abbeel Advances in Neural Information Processing Systems, 2021, 2021 | 177 | 2021 |
Koala: A dialogue model for academic research X Geng*, A Gudibande*, H Liu*, E Wallace*, P Abbeel†, S Levine†, ... Blog post, April 1, 2023 | 152 | 2023 |
The False Promise of Imitating Proprietary Language Models A Gudibande, E Wallace, CV Snell, X Geng, H Liu, P Abbeel, S Levine, ... The Twelfth International Conference on Learning Representations, 2023 | 121* | 2023 |
Taming MAML: Efficient unbiased meta-reinforcement learning H Liu, R Socher, C Xiong International Conference on Machine Learning (ICML), 4061-4071, 2019 | 116* | 2019 |
APS: Active Pretraining with Successor Features H Liu, P Abbeel International Conference on Machine Learning, 6736-6747, 2021 | 115 | 2021 |
URLB: Unsupervised Reinforcement Learning Benchmark M Laskin*, D Yarats*, H Liu, K Lee, A Zhan, K Lu, C Cang, L Pinto, ... arXiv preprint arXiv:2110.15191, 2021 | 114 | 2021 |
Aligning Text-to-Image Models using Human Feedback K Lee, H Liu, M Ryu, O Watkins, Y Du, C Boutilier, P Abbeel, ... arXiv preprint arXiv:2302.12192, 2023 | 109 | 2023 |
Chain of Hindsight Aligns Language Models with Feedback H Liu, C Sferrazza, P Abbeel arXiv preprint arXiv:2302.02676, 2023 | 109* | 2023 |
Openllama: An open reproduction of llama X Geng*, H Liu* URL: https://github. com/openlm-research/open_llama, 2023 | 97 | 2023 |
Action-depedent Control Variates for Policy Optimization via Stein's Identity H Liu, Y Feng, Y Mao, D Zhou, J Peng, Q Liu International Conference on Learning Representations, 2017 | 96 | 2017 |
Multimodal Masked Autoencoders Learn Transferable Representations X Geng*, H Liu*, L Lee, D Schuurams, S Levine, P Abbeel arXiv preprint arXiv:2205.14204, 2022 | 82 | 2022 |
Masked world models for visual control Y Seo, D Hafner, H Liu, F Liu, S James, K Lee, P Abbeel Conference on Robot Learning, 1332-1344, 2023 | 81 | 2023 |
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning D Yarats*, D Brandfonbrener*, H Liu, M Laskin, P Abbeel, A Lazaric, ... arXiv preprint arXiv:2201.13425, 2022 | 78 | 2022 |
Competitive Experience Replay H Liu, A Trott, R Socher, C Xiong International Conference on Learning Representations(ICLR) 2019, 2019 | 63 | 2019 |
Variational inference with tail-adaptive f-divergence D Wang, H Liu, Q Liu Advances in Neural Information Processing Systems 31, 2018 | 61 | 2018 |
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery M Laskin, H Liu, XB Peng, D Yarats, A Rajeswaran, P Abbeel Advances in Neural Information Processing Systems, 2022, 2022 | 59* | 2022 |
Reinforcement learning for fine-tuning text-to-image diffusion models Y Fan, O Watkins, Y Du, H Liu, M Ryu, C Boutilier, P Abbeel, ... Advances in Neural Information Processing Systems 36, 2024 | 56 | 2024 |
Hybrid discriminative-generative training via contrastive learning H Liu, P Abbeel arXiv preprint arXiv:2007.09070, 2020 | 48 | 2020 |
Instruction-Following Agents with Multimodal Transformer H Liu, L Lee, K Lee, P Abbeel arXiv preprint arXiv:2210.13431, 2022 | 43* | 2022 |
Structured Inference for Recurrent Hidden Semi-markov Model. H Liu, L He, H Bai, B Dai, K Bai, Z Xu IJCAI, 2447-2453, 2018 | 34* | 2018 |