Xinyang Geng

Orcid: 0009-0000-5500-6387

According to our database1, Xinyang Geng authored at least 23 papers between 2017 and 2024.

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Bibliography

2024
Multistage Cable Routing Through Hierarchical Imitation Learning.
IEEE Trans. Robotics, 2024

Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning.
CoRR, 2024

RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold.
CoRR, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2024

The False Promise of Imitating Proprietary Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Sequential Modeling Enables Scalable Learning for Large Vision Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Latent Conservative Objective Models for Data-Driven Crystal Structure Prediction.
CoRR, 2023

Multi-Stage Cable Routing through Hierarchical Imitation Learning.
CoRR, 2023

The False Promise of Imitating Proprietary LLMs.
CoRR, 2023

Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning.
Proceedings of the Conference on Robot Learning, 2023

2022
FCM: Forgetful Causal Masking Makes Causal Language Models Better Zero-Shot Learners.
CoRR, 2022

Multimodal Masked Autoencoders Learn Transferable Representations.
CoRR, 2022

Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization.
Proceedings of the International Conference on Machine Learning, 2022

2021
Conservative Objective Models for Effective Offline Model-Based Optimization.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Variable-Shot Adaptation for Online Meta-Learning.
CoRR, 2020

Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling.
CoRR, 2020

Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Dynamical Distance Learning for Unsupervised and Semi-Supervised Skill Discovery.
CoRR, 2019

2018
Automatic Goal Generation for Reinforcement Learning Agents.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Real-time user-guided image colorization with learned deep priors.
ACM Trans. Graph., 2017

Deep reinforcement learning for tensegrity robot locomotion.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017


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