Conference on Robot Learning

CoRL

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CORE rank

CORE rank (raw)

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Fields of research

Artificial Intelligence · Machine Learning · Computer Vision and Multimedia Computation

Papers indexed

1,225

2017–2024

Best Artificial Intelligence conferences Best Machine Learning conferences Best Computer Vision conferences

Papers per year

2017264 peak2024

Most published authors

CoRL papers

1,225 records sourced from DBLP. Search titles, filter by year, sort by recency.

Year	Title	Authors
2021	Influencing Behavioral Attributions to Robot Motion During Task Execution.	Nick Walker, Christoforos I. Mavrogiannis, Siddhartha S. Srinivasa, Maya Cakmak
2020	Task-Relevant Adversarial Imitation Learning.	Konrad Zolna, Scott E. Reed, Alexander Novikov, Sergio Gmez Colmenarejo, David Budden, Serkan Cabi, Misha Denil, Nando de Freitas, Ziyu Wang
2020	SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving.	Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang Zhu, Yihan Ni, Nhat M. Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander I. Cowen-Rivers, Sanjeevan Ahilan, Zheng Tian, Daniel Palenicek, Kasra Rezaee, Peyman Yadmellat, Kun Shao, Dong Chen, Baokuan Zhang, Hongbo Zhang, Jianye Hao, Wulong Liu, Jun Wang
2020	PLAS: Latent Action Space for Offline Reinforcement Learning.	Wenxuan Zhou, Sujay Bajracharya, David Held
2020	Towards Robotic Assembly by Predicting Robust, Precise and Task-oriented Grasps.	Jialiang Zhao, Daniel Troniak, Oliver Kroemer
2020	MELD: Meta-Reinforcement Learning from Images via Latent State Models.	Zihao Zhao, Anusha Nagabandi, Kate Rakelly, Chelsea Finn, Sergey Levine
2020	SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning.	Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto
2020	TNT: Target-driven Trajectory Prediction.	Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov
2020	Map-Adaptive Goal-Based Trajectory Prediction.	Lingyao Zhang, Po-Hsun Su, Jerrick Hoang, Galen Clark Haynes, Micol Marchetti-Bowick
2020	Transporter Networks: Rearranging the Visual World for Robotic Manipulation.	Andy Zeng, Pete Florence, Jonathan Tompson, Stefan Welker, Jonathan Chien, Maria Attarian, Travis Armstrong, Ivan Krasin, Dan Duong, Vikas Sindhwani, Johnny Lee
2020	Learning rich touch representations through cross-modal self-supervision.	Martina Zambelli, Yusuf Aytar, Francesco Visin, Yuxiang Zhou, Raia Hadsell
2020	Visual Imitation Made Easy.	Sarah Young, Dhiraj Gandhi, Shubham Tulsiani, Abhinav Gupta, Pieter Abbeel, Lerrel Pinto
2020	Auxiliary Tasks Speed Up Learning Point Goal Navigation.	Joel Ye, Dhruv Batra, Erik Wijmans, Abhishek Das
2020	Learning Predictive Representations for Deformable Objects Using Contrastive Estimation.	Wilson Yan, Ashwin Vangipuram, Pieter Abbeel, Lerrel Pinto
2020	Recovering and Simulating Pedestrians in the Wild.	Ze Yang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun
2020	Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments.	Jun Yamada, Youngwoon Lee, Gautam Salhotra, Karl Pertsch, Max Pflueger, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert
2020	SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks.	Yan Xu, Zhaoyang Huang, Kwan-Yee Lin, Xinge Zhu, Jianping Shi, Hujun Bao, Guofeng Zhang, Hongsheng Li
2020	Learning 3D Dynamic Scene Representations for Robot Manipulation.	Zhenjia Xu, Zhanpeng He, Jiajun Wu, Shuran Song
2020	Positive-Unlabeled Reward Learning.	Danfei Xu, Misha Denil
2020	Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps.	Chengguang Xu, Christopher Amato, Lawson L. S. Wong
2020	Learning Latent Representations to Influence Multi-Agent Interaction.	Annie Xie, Dylan P. Losey, Ryan Tolsma, Chelsea Finn, Dorsa Sadigh
2020	MuGNet: Multi-Resolution Graph Neural Network for Segmenting Large-Scale Pointclouds.	Liuyue Xie, Tomotake Furuhata, Kenji Shimada
2020	Action-based Representation Learning for Autonomous Driving.	Yi Xiao, Felipe Codevilla, Christopher J. Pal, Antonio M. Lpez
2020	Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation.	Yu Xiang, Christopher Xie, Arsalan Mousavian, Dieter Fox
2020	TriFinger: An Open-Source Robot for Learning Dexterity.	Manuel Wuthrich, Felix Widmaier, Felix Grimminger, Shruti Joshi, Vaibhav Agrawal, Bilal Hammoud, Majid Khadiv, Miroslav Bogdanovic, Vincent Berenz, Julian Viereck, Maximilien Naveau, Ludovic Righetti, Bernhard Schlkopf, Stefan Bauer

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