Boyuan Chen

According to our database, Boyuan Chen authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

DittoGym: Learning to Control Soft Shape-Shifting Robots.

Suning Huang, Boyuan Chen, Huazhe Xu, Vincent Sitzmann

CoRR, 2024

SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities.

Boyuan Chen, Zhuo Xu, Sean Kirmani, Brian Ichter, Danny Driess, Pete Florence, Dorsa Sadigh, Leonidas J. Guibas, Fei Xia

CoRR, 2024

2023

Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks.

Zhaofeng Wu, Linlu Qiu, Alexis Ross, Ekin Akyürek, Boyuan Chen, Bailin Wang, Najoung Kim, Jacob Andreas, Yoon Kim

CoRR, 2023

Self-Supervised Reinforcement Learning that Transfers using Random Features.

Boyuan Chen, Chuning Zhu, Pulkit Agrawal, Kaiqing Zhang, Abhishek Gupta

CoRR, 2023

Self-Supervised Reinforcement Learning that Transfers using Random Features.

Boyuan Chen, Chuning Zhu, Pulkit Agrawal, Kaiqing Zhang, Abhishek Gupta

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Extraneousness-Aware Imitation Learning.

Ray Chen Zheng, Kaizhe Hu, Zhecheng Yuan, Boyuan Chen, Huazhe Xu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Open-vocabulary Queryable Scene Representations for Real World Planning.

Boyuan Chen, Fei Xia, Brian Ichter, Kanishka Rao, Keerthana Gopalakrishnan, Michael S. Ryoo, Austin Stone, Daniel Kappler

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2021

Zero-shot Policy Learning with Spatial Temporal Reward Decomposition on Contingency-aware Observation.

Huazhe Xu, Boyuan Chen, Yang Gao, Trevor Darrell

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Unsupervised Learning of Visual 3D Keypoints for Control.

Boyuan Chen, Pieter Abbeel, Deepak Pathak

Proceedings of the 38th International Conference on Machine Learning, 2021

Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization.

Zhenggang Tang, Chao Yu, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon Shaolei Du, Yu Wang, Yi Wu

Proceedings of the 9th International Conference on Learning Representations, 2021

2019

Scoring-Aggregating-Planning: Learning task-agnostic priors from interactions and sparse rewards for zero-shot generalization.

Huazhe Xu, Boyuan Chen, Yang Gao, Trevor Darrell

CoRR, 2019