Deep reinforcement learning for tensegrity robot locomotion. - Marvin Zhang; Xinyang Geng; Jonathan Bruce; Ken Caluwaerts; Massimo Vespignani; Vytas SunSpiral; Pieter Abbeel; Sergey Levine (ICRA, 2017)

Real-time user-guided image colorization with learned deep priors. - Richard Zhang 001; Jun-Yan Zhu; Phillip Isola; Xinyang Geng; Angela S. Lin; Tianhe Yu; Alexei A. Efros (ACM Trans. Graph., 2017)

Automatic Goal Generation for Reinforcement Learning Agents. - Carlos Florensa; David Held; Xinyang Geng; Pieter Abbeel (ICML, 2018)

Dynamical Distance Learning for Unsupervised and Semi-Supervised Skill Discovery. - Kristian Hartikainen; Xinyang Geng; Tuomas Haarnoja; Sergey Levine (CoRR, 2019)

Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery. - Kristian Hartikainen; Xinyang Geng; Tuomas Haarnoja; Sergey Levine (ICLR, 2020)

Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement. - Ben Eysenbach; Xinyang Geng; Sergey Levine; Ruslan Salakhutdinov (NeurIPS, 2020)

Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling. - Russell Mendonca; Xinyang Geng; Chelsea Finn; Sergey Levine (CoRR, 2020)

Variable-Shot Adaptation for Online Meta-Learning. - Tianhe Yu; Xinyang Geng; Chelsea Finn; Sergey Levine (CoRR, 2020)

Conservative Objective Models for Effective Offline Model-Based Optimization. - Brandon Trabucco; Aviral Kumar; Xinyang Geng; Sergey Levine (ICML, 2021)

Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization. - Brandon Trabucco; Xinyang Geng; Aviral Kumar; Sergey Levine (ICML, 2022)

Multimodal Masked Autoencoders Learn Transferable Representations. - Xinyang Geng; Hao Liu 055; Lisa Lee; Dale Schuurams; Sergey Levine; 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)

Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning. - Jianlan Luo; Perry Dong; Jeffrey Wu; Aviral Kumar; Xinyang Geng; Sergey Levine (CoRL, 2023)

Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes. - Aviral Kumar; Rishabh Agarwal; Xinyang Geng; George Tucker; Sergey Levine (ICLR, 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)

Multi-Stage Cable Routing through Hierarchical Imitation Learning. - Jianlan Luo; Charles Xu 003; Xinyang Geng; Gilbert Feng; Kuan Fang; Liam Tan; Stefan Schaal; Sergey Levine (CoRR, 2023)

Latent Conservative Objective Models for Data-Driven Crystal Structure Prediction. - Han Qi; Xinyang Geng; Stefano Rando; Iku Ohama; Aviral Kumar; Sergey Levine (CoRR, 2023)

Sequential Modeling Enables Scalable Learning for Large Vision Models. - Yutong Bai; Xinyang Geng; Karttikeya Mangalam; Amir Bar; Alan L. Yuille; Trevor Darrell; Jitendra Malik; Alexei A. Efros (CVPR, 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)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization. - Aniketh Janardhan Reddy; Xinyang Geng; Michael Herschl; Sathvik Kolli; Aviral Kumar; Patrick Hsu; Sergey Levine; Nilah Ioannidis (NeurIPS, 2024)

RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold. - Amrith Setlur; Saurabh Garg; Xinyang Geng; Naman Garg; Virginia Smith; Aviral Kumar (NeurIPS, 2024)

Multistage Cable Routing Through Hierarchical Imitation Learning. - Jianlan Luo; Charles Xu 003; Xinyang Geng; Gilbert Feng; Kuan Fang; Liam Tan; Stefan Schaal; Sergey Levine (IEEE Trans. Robotics, 2024)

Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning. - Amrith Setlur; Chirag Nagpal; Adam Fisch; Xinyang Geng; Jacob Eisenstein; Rishabh Agarwal; Alekh Agarwal; Jonathan Berant; Aviral Kumar (ICLR, 2025)