Hybrid Discriminative-Generative Training via Contrastive Learning. - Hao Liu 055; Pieter Abbeel (CoRR, 2020)

APS: Active Pretraining with Successor Features. - Hao Liu 055; Pieter Abbeel (ICML, 2021)

URLB: Unsupervised Reinforcement Learning Benchmark. - Michael Laskin; Denis Yarats; Hao Liu 055; Kimin Lee; Albert Zhan; Kevin Lu; Catherine Cang; Lerrel Pinto; Pieter Abbeel (NeurIPS Datasets and Benchmarks, 2021)

Behavior From the Void: Unsupervised Active Pre-Training. - Hao Liu 055; Pieter Abbeel (NeurIPS, 2021)

Masked World Models for Visual Control. - Younggyo Seo; Danijar Hafner; Hao Liu 055; Fangchen Liu; Stephen James; Kimin Lee; Pieter Abbeel (CoRL, 2022)

Unsupervised Reinforcement Learning with Contrastive Intrinsic Control. - Michael Laskin; Hao Liu 055; Xue Bin Peng; Denis Yarats; Aravind Rajeswaran; Pieter Abbeel (NeurIPS, 2022)

Masked Autoencoding for Scalable and Generalizable Decision Making. - Fangchen Liu; Hao Liu 055; Aditya Grover; Pieter Abbeel (NeurIPS, 2022)

Palm up: Playing in the Latent Manifold for Unsupervised Pretraining. - Hao Liu 055; Tom Zahavy; Volodymyr Mnih; Satinder Singh 001 (NeurIPS, 2022)

Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning. - Denis Yarats; David Brandfonbrener; Hao Liu 055; Michael Laskin; Pieter Abbeel; Alessandro Lazaric; Lerrel Pinto (CoRR, 2022)

CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery. - Michael Laskin; Hao Liu 055; Xue Bin Peng; Denis Yarats; Aravind Rajeswaran; Pieter Abbeel (CoRR, 2022)

Multimodal Masked Autoencoders Learn Transferable Representations. - Xinyang Geng; Hao Liu 055; Lisa Lee; Dale Schuurams; Sergey Levine; Pieter Abbeel (CoRR, 2022)

Instruction-Following Agents with Jointly Pre-Trained Vision-Language Models. - Hao Liu 055; Lisa Lee; Kimin Lee; Pieter Abbeel (CoRR, 2022)

FCM: Forgetful Causal Masking Makes Causal Language Models Better Zero-Shot Learners. - Hao Liu 055; Xinyang Geng; Lisa Lee; Igor Mordatch; Sergey Levine; Sharan Narang; Pieter Abbeel (CoRR, 2022)

Emergent Agentic Transformer from Chain of Hindsight Experience. - Hao Liu 055; Pieter Abbeel (ICML, 2023)

Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models. - Ying Fan; Olivia Watkins; Yuqing Du; Hao Liu 055; Moonkyung Ryu; Craig Boutilier; Pieter Abbeel; Mohammad Ghavamzadeh; Kangwook Lee 001; Kimin Lee (NeurIPS, 2023)

Blockwise Parallel Transformers for Large Context Models. - Hao Liu 055; Pieter Abbeel (NeurIPS, 2023)

Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment. - Hao Liu 055; Wilson Yan; Pieter Abbeel (NeurIPS, 2023)

Aligning Text-to-Image Models using Human Feedback. - Kimin Lee; Hao Liu 055; Moonkyung Ryu; Olivia Watkins; Yuqing Du; Craig Boutilier; Pieter Abbeel; Mohammad Ghavamzadeh; Shixiang Shane Gu (CoRR, 2023)

The False Promise of Imitating Proprietary LLMs. - Arnav Gudibande; Eric Wallace; Charlie Snell; Xinyang Geng; Hao Liu 055; Pieter Abbeel; Sergey Levine; Dawn Song (CoRR, 2023)

DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models. - Ying Fan; Olivia Watkins; Yuqing Du; Hao Liu 055; Moonkyung Ryu; Craig Boutilier; Pieter Abbeel; Mohammad Ghavamzadeh; Kangwook Lee 001; Kimin Lee (CoRR, 2023)

Blockwise Parallel Transformer for Long Context Large Models. - Hao Liu 055; Pieter Abbeel (CoRR, 2023)

Ring Attention with Blockwise Transformers for Near-Infinite Context. - Hao Liu 055; Matei Zaharia; Pieter Abbeel (CoRR, 2023)

Exploration with Principles for Diverse AI Supervision. - Hao Liu 055; Matei Zaharia; Pieter Abbeel (CoRR, 2023)

Chain of Hindsight aligns Language Models with Feedback. - Hao Liu 055; Carmelo Sferrazza; Pieter Abbeel (ICLR, 2024)

RingAttention with Blockwise Transformers for Near-Infinite Context. - Hao Liu 055; Matei Zaharia; Pieter Abbeel (ICLR, 2024)

The False Promise of Imitating Proprietary Language Models. - Arnav Gudibande; Eric Wallace; Charlie Snell; Xinyang Geng; Hao Liu 055; Pieter Abbeel; Sergey Levine; Dawn Song (ICLR, 2024)

The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning. - Carmelo Sferrazza; Younggyo Seo; Hao Liu 055; Youngwoon Lee; Pieter Abbeel (IROS, 2024)

World Model on Million-Length Video And Language With Blockwise RingAttention. - Hao Liu 055; Wilson Yan; Matei Zaharia; Pieter Abbeel (ICLR, 2025)

ElasticTok: Adaptive Tokenization for Image and Video. - Wilson Yan; Volodymyr Mnih; Aleksandra Faust; Matei Zaharia; Pieter Abbeel; Hao Liu 055 (ICLR, 2025)