Conference on Robot Learning
CoRL
Unranked
CORE rank
CORE rank (raw)
Unranked
Fields of research
Artificial Intelligence · Machine Learning · Computer Vision and Multimedia Computation
Papers indexed
1,225
2017–2024
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 |
|---|---|---|
| 2023 | Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback. | Max Balsells, Marcel Torne Villasevil, Zihan Wang, Samedh Desai, Pulkit Agrawal, Abhishek Gupta |
| 2023 | Stealthy Terrain-Aware Multi-Agent Active Search. | Nikhil Angad Bakshi, Jeff Schneider |
| 2023 | Geometry Matching for Multi-Embodiment Grasping. | Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson |
| 2023 | 4D-Former: Multimodal 4D Panoptic Segmentation. | Ali Athar, Enxu Li, Sergio Casas, Raquel Urtasun |
| 2023 | Fleet Active Learning: A Submodular Maximization Approach. | Oguzhan Akcin, Orhan Unuvar, Onat Ure, Sandeep P. Chinchali |
| 2023 | Preference learning for guiding the tree search in continuous POMDPs. | Jiyong Ahn, Sanghyeon Son, Dongryung Lee, Jisu Han, Dongwon Son, Beomjoon Kim |
| 2023 | Dexterous Functional Grasping. | Ananye Agarwal, Shagun Uppal, Kenneth Shaw, Deepak Pathak |
| 2023 | Learning Lyapunov-Stable Polynomial Dynamical Systems Through Imitation. | Amin Abyaneh, Hsiu-Chin Lin |
| 2023 | Online Model Adaptation with Feedforward Compensation. | Abulikemu Abuduweili, Changliu Liu |
| 2023 | Generating Transferable Adversarial Simulation Scenarios for Self-Driving via Neural Rendering. | Yasasa Abeysirigoonawardena, Kevin Xie, Chuhan Chen, Salar Hosseini Khorasgani, Ruiting Chen, Ruiqi Wang, Florian Shkurti |
| 2023 | Learning to Design and Use Tools for Robotic Manipulation. | Ziang Liu, Stephen Tian, Michelle Guo, C. Karen Liu, Jiajun Wu |
| 2023 | Language to Rewards for Robotic Skill Synthesis. | Wenhao Yu, Nimrod Gileadi, Chuyuan Fu, Sean Kirmani, Kuang-Huei Lee, Montserrat Gonzalez Arenas, Hao-Tien Lewis Chiang, Tom Erez, Leonard Hasenclever, Jan Humplik, Brian Ichter, Ted Xiao, Peng Xu, Andy Zeng, Tingnan Zhang, Nicolas Heess, Dorsa Sadigh, Jie Tan, Yuval Tassa, Fei Xia |
| 2023 | A Bayesian approach to breaking things: efficiently predicting and repairing failure modes via sampling. | Charles Dawson, Chuchu Fan |
| 2022 | TrackletMapper: Ground Surface Segmentation and Mapping from Traffic Participant Trajectories. | Jannik Zrn, Sebastian Weber, Wolfram Burgard |
| 2022 | VIOLA: Object-Centric Imitation Learning for Vision-Based Robot Manipulation. | Yifeng Zhu, Abhishek Joshi, Peter Stone, Yuke Zhu |
| 2022 | Modularity through Attention: Efficient Training and Transfer of Language-Conditioned Policies for Robot Manipulation. | Yifan Zhou, Shubham D. Sonawani, Mariano J. Phielipp, Simon Stepputtis, Heni Ben Amor |
| 2022 | Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity. | Wenxuan Zhou, David Held |
| 2022 | Touching a NeRF: Leveraging Neural Radiance Fields for Tactile Sensory Data Generation. | Shaohong Zhong, Alessandro Albini, Oiwi Parker Jones, Perla Maiolino, Ingmar Posner |
| 2022 | Discriminator-Guided Model-Based Offline Imitation Learning. | Wenjia Zhang, Haoran Xu, Haoyi Niu, Peng Cheng, Ming Li, Heming Zhang, Guyue Zhou, Xianyuan Zhan |
| 2022 | Learning Riemannian Stable Dynamical Systems via Diffeomorphisms. | Jiechao Zhang, Hadi Beik-Mohammadi, Leonel Rozo |
| 2022 | A Dual Representation Framework for Robot Learning with Human Guidance. | Ruohan Zhang, Dhruva Bansal, Yilun Hao, Ayano Hiranaka, Jialu Gao, Chen Wang, Roberto Martn-Martn, Li Fei-Fei, Jiajun Wu |
| 2022 | HUM3DIL: Semi-supervised Multi-modal 3D HumanPose Estimation for Autonomous Driving. | Andrei Zanfir, Mihai Zanfir, Alexander N. Gorban, Jingwei Ji, Yin Zhou, Dragomir Anguelov, Cristian Sminchisescu |
| 2022 | ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes. | Sergey Zakharov, Rares Andrei Ambrus, Katherine Liu, Adrien Gaidon |
| 2022 | Concept Learning for Interpretable Multi-Agent Reinforcement Learning. | Renos Zabounidis, Joseph Campbell, Simon Stepputtis, Dana Hughes, Katia P. Sycara |
| 2022 | Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation. | Chenning Yu, Hongzhan Yu, Sicun Gao |
451–475 of 1,225← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- A*AAAINational Conference of the American Association for Artificial Intelligence
- A*ICRAIEEE International Conference on Robotics and Automation
- AInterspeechInterspeech (combined EuroSpeech and ICSLP in 2000)
- AIROSIEEE/RSJ International Conference on Intelligent Robots and Systems
- A*ACLAssociation for Computational Linguistics
- A*IJCAIInternational Joint Conference on Artificial Intelligence
- A*EMNLPEmpirical Methods in Natural Language Processing
- AGECCOGenetic and Evolutionary Computations