Yang Gao

According to our database, Yang Gao authored at least 56 papers between 2015 and 2024.

Collaborative distances:

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

2024

Data Scaling Laws in Imitation Learning for Robotic Manipulation.

Fanqi Lin, Yingdong Hu, Pingyue Sheng, Chuan Wen, Jiacheng You, Yang Gao

CoRR, 2024

Leveraging Locality to Boost Sample Efficiency in Robotic Manipulation.

Tong Zhang, Yingdong Hu, Jiacheng You, Yang Gao

CoRR, 2024

Learning Manipulation Skills through Robot Chain-of-Thought with Sparse Failure Guidance.

Kaifeng Zhang, Zhao-Heng Yin, Weirui Ye, Yang Gao

CoRR, 2024

SpaceOctopus: An Octopus-inspired Motion Planning Framework for Multi-arm Space Robot.

Wenbo Zhao, Shengjie Wang, Yixuan Fan, Yang Gao, Tao Zhang

CoRR, 2024

General Flow as Foundation Affordance for Scalable Robot Learning.

Chengbo Yuan, Chuan Wen, Tong Zhang, Yang Gao

CoRR, 2024

Any-point Trajectory Modeling for Policy Learning.

Chuan Wen, Xingyu Lin, John So, Kai Chen, Qi Dou, Yang Gao, Pieter Abbeel

CoRR, 2024

Any-point Trajectory Modeling for Policy Learning.

Chuan Wen, Xingyu Lin, John Ian Reyes So, Kai Chen, Qi Dou, Yang Gao, Pieter Abbeel

Proceedings of the Robotics: Science and Systems XX, 2024

CoPa: General Robotic Manipulation through Spatial Constraints of Parts with Foundation Models.

Haoxu Huang, Fanqi Lin, Yingdong Hu, Shengjie Wang, Yang Gao

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data.

Shengjie Wang, Shaohuai Liu, Weirui Ye, Jiacheng You, Yang Gao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Can Transformers Capture Spatial Relations between Objects?

Chuan Wen, Dinesh Jayaraman, Yang Gao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Imitation Learning from Observation with Automatic Discount Scheduling.

Yuyang Liu, Weijun Dong, Yingdong Hu, Chuan Wen, Zhao-Heng Yin, Chongjie Zhang, Yang Gao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization.

Kun Lei, Zhengmao He, Chenhao Lu, Kaizhe Hu, Yang Gao, Huazhe Xu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Seer: Language Instructed Video Prediction with Latent Diffusion Models.

Xianfan Gu, Chuan Wen, Weirui Ye, Jiaming Song, Yang Gao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Look Before You Leap: Unveiling the Power of GPT-4V in Robotic Vision-Language Planning.

Yingdong Hu, Fanqi Lin, Tong Zhang, Li Yi, Yang Gao

CoRR, 2023

DexCatch: Learning to Catch Arbitrary Objects with Dexterous Hands.

Fengbo Lan, Shengjie Wang, Yunzhe Zhang, Haotian Xu, Oluwatosin Oseni, Yang Gao, Tao Zhang

CoRR, 2023

Foundation Reinforcement Learning: towards Embodied Generalist Agents with Foundation Prior Assistance.

Weirui Ye, Yunsheng Zhang, Mengchen Wang, Shengjie Wang, Xianfan Gu, Pieter Abbeel, Yang Gao

CoRR, 2023

Policy Contrastive Imitation Learning.

Jialei Huang, Zhaoheng Yin, Yingdong Hu, Yang Gao

CoRR, 2023

Seer: Language Instructed Video Prediction with Latent Diffusion Models.

Xianfan Gu, Chuan Wen, Jiaming Song, Yang Gao

CoRR, 2023

Real-time scheduling of renewable power systems through planning-based reinforcement learning.

Shaohuai Liu, Jinbo Liu, Weirui Ye, Nan Yang, Guanglun Zhang, Haiwang Zhong, Chongqing Kang, Qirong Jiang, Xuri Song, Fangchun Di, Yang Gao

CoRR, 2023

A RL-based Policy Optimization Method Guided by Adaptive Stability Certification.

Shengjie Wang, Fengbo Lan, Xiang Zheng, Yuxue Cao, Oluwatosin Oseni, Haotian Xu, Yang Gao, Tao Zhang

CoRR, 2023

Efficient Exploration Using Extra Safety Budget in Constrained Policy Optimization.

Haotian Xu, Shengjie Wang, Zhaolei Wang, Yunzhe Zhang, Qing Zhuo, Yang Gao, Tao Zhang

IROS, 2023

USEEK: Unsupervised SE(3)-Equivariant 3D Keypoints for Generalizable Manipulation.

Zhengrong Xue, Zhecheng Yuan, Jiashun Wang, Xueqian Wang, Yang Gao, Huazhe Xu

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

Policy Contrastive Imitation Learning.

Jialei Huang, Zhao-Heng Yin, Yingdong Hu, Yang Gao

Proceedings of the International Conference on Machine Learning, 2023

For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal.

Yingdong Hu, Renhao Wang, Li Erran Li, Yang Gao

Proceedings of the International Conference on Machine Learning, 2023

Become a Proficient Player with Limited Data through Watching Pure Videos.

Weirui Ye, Yunsheng Zhang, Pieter Abbeel, Yang Gao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Predictive Inference with Feature Conformal Prediction.

Jiaye Teng, Chuan Wen, Dinghuai Zhang, Yoshua Bengio, Yang Gao, Yang Yuan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SpeedyZero: Mastering Atari with Limited Data and Time.

Yixuan Mei, Jiaxuan Gao, Weirui Ye, Shaohuai Liu, Yang Gao, Yi Wu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Decision Transformer under Random Frame Dropping.

Kaizhe Hu, Ray Chen Zheng, Yang Gao, Huazhe Xu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Universal Semantic-Geometric Representation for Robotic Manipulation.

Tong Zhang, Yingdong Hu, Hanchen Cui, Hang Zhao, Yang Gao

Proceedings of the Conference on Robot Learning, 2023

A Policy Optimization Method Towards Optimal-time Stability.

Shengjie Wang, Lan Fengb, Xiang Zheng, Yuxue Cao, Oluwatosin OluwaPelumi Oseni, Haotian Xu, Tao Zhang, Yang Gao

Proceedings of the Conference on Robot Learning, 2023

Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination.

Rui Zhao, Jinming Song, Yufeng Yuan, Haifeng Hu, Yang Gao, Yi Wu, Zhongqian Sun, Wei Yang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning.

Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Planning for Sample Efficient Imitation Learning.

Zhao-Heng Yin, Weirui Ye, Qifeng Chen, Yang Gao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions.

Weirui Ye, Pieter Abbeel, Yang Gao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming.

Chuan Wen, Jianing Qian, Jierui Lin, Jiaye Teng, Dinesh Jayaraman, Yang Gao

Proceedings of the International Conference on Machine Learning, 2022

Semantic-Aware Fine-Grained Correspondence.

Yingdong Hu, Renhao Wang, Kaifeng Zhang, Yang Gao

Proceedings of the Computer Vision - ECCV 2022, 2022

Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction.

Chia-Chi Chuang, Donglin Yang, Chuan Wen, Yang Gao

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination.

Rui Zhao, Jinming Song, Haifeng Hu, Yang Gao, Yi Wu, Zhongqian Sun, Yang Wei

CoRR, 2021

Improving Context-Based Meta-Reinforcement Learning with Self-Supervised Trajectory Contrastive Learning.

Bernie Wang, Simon Xu, Kurt Keutzer, Yang Gao, Bichen Wu

CoRR, 2021

Mastering Atari Games with Limited Data.

Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Reinforcement Learning with Latent Flow.

Wenling Shang, Xiaofei Wang, Aravind Srinivas, Aravind Rajeswaran, Yang Gao, Pieter Abbeel, Michael Laskin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Keyframe-Focused Visual Imitation Learning.

Chuan Wen, Jierui Lin, Jianing Qian, Yang Gao, Dinesh Jayaraman

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

Mutual Information State Intrinsic Control.

Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu

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

Discovering Non-monotonic Autoregressive Orderings with Variational Inference.

Xuanlin Li, Brandon Trabucco, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao

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

Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation.

Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation.

Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Fighting Copycat Agents in Behavioral Cloning from Observation Histories.

Chuan Wen, Jierui Lin, Trevor Darrell, Dinesh Jayaraman, Yang Gao

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

2018

Reinforcement Learning from Imperfect Demonstrations.

Yang Gao, Huazhe Xu, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Generalized Orderless Pooling Performs Implicit Salient Matching.

Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner

Proceedings of the IEEE International Conference on Computer Vision, 2017

End-to-End Learning of Driving Models from Large-Scale Video Datasets.

Huazhe Xu, Yang Gao, Fisher Yu, Trevor Darrell

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Proton: A visuo-haptic data acquisition system for robotic learning of surface properties.

Alex Burka, Siyao Hu, Stuart Helgeson, Shweta Krishnan, Yang Gao, Lisa Anne Hendricks, Trevor Darrell, Katherine J. Kuchenbecker

Proceedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2016

Deep learning for tactile understanding from visual and haptic data.

Yang Gao, Lisa Anne Hendricks, Katherine J. Kuchenbecker, Trevor Darrell

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Compact Bilinear Pooling.

Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Fine-grained pose prediction, normalization, and recognition.

Ning Zhang, Evan Shelhamer, Yang Gao, Trevor Darrell

CoRR, 2015