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Hao Liu
Hao Liu
Verified email at cs.berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Behavior From the Void: Unsupervised Active Pre-Training
H Liu, P Abbeel
Advances in Neural Information Processing Systems, 2021, 2021
1932021
Koala: A dialogue model for academic research
X Geng*, A Gudibande*, H Liu*, E Wallace*, P Abbeel†, S Levine†, ...
Blog post, April 1, 2023
1642023
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
1362023
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
135*2023
Chain of Hindsight Aligns Language Models with Feedback
H Liu, C Sferrazza, P Abbeel
arXiv preprint arXiv:2302.02676, 2023
130*2023
APS: Active Pretraining with Successor Features
H Liu, P Abbeel
International Conference on Machine Learning, 6736-6747, 2021
1232021
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
1222021
Taming MAML: Efficient unbiased meta-reinforcement learning
H Liu, R Socher, C Xiong
International Conference on Machine Learning (ICML), 4061-4071, 2019
116*2019
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
982017
Multimodal Masked Autoencoders Learn Transferable Representations
X Geng*, H Liu*, L Lee, D Schuurams, S Levine, P Abbeel
arXiv preprint arXiv:2205.14204, 2022
922022
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
912023
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
792022
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
772024
Openllama: An open reproduction of llama
X Geng*, H Liu*
URL: https://github. com/openlm-research/open_llama, 2023
712023
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
68*2022
Competitive Experience Replay
H Liu, A Trott, R Socher, C Xiong
International Conference on Learning Representations(ICLR) 2019, 2019
632019
Variational inference with tail-adaptive f-divergence
D Wang, H Liu, Q Liu
Advances in Neural Information Processing Systems 31, 2018
622018
RingAttention with Blockwise Transformers for Near-Infinite Context
H Liu, M Zaharia, P Abbeel
The Twelfth International Conference on Learning Representations (ICLR 2024), 2024
482024
Hybrid discriminative-generative training via contrastive learning
H Liu, P Abbeel
arXiv preprint arXiv:2007.09070, 2020
472020
Instruction-Following Agents with Multimodal Transformer
H Liu, L Lee, K Lee, P Abbeel
arXiv preprint arXiv:2210.13431, 2022
43*2022
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