Boyuan Chen

Affiliations:
  • MIT EECS, MA, USA


According to our database1, Boyuan Chen authored at least 13 papers between 2019 and 2024.

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Bibliography

2024
Unifying 3D Representation and Control of Diverse Robots with a Single Camera.
CoRR, 2024

Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion.
CoRR, 2024

SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities.
CoRR, 2024

Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

DittoGym: Learning to Control Soft Shape-Shifting Robots.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Self-Supervised Reinforcement Learning that Transfers using Random Features.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Extraneousness-Aware Imitation Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Open-vocabulary Queryable Scene Representations for Real World Planning.
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.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Unsupervised Learning of Visual 3D Keypoints for Control.
Proceedings of the 38th International Conference on Machine Learning, 2021

Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization.
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.
CoRR, 2019


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