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 |
|---|---|---|
| 2022 | ARC - Actor Residual Critic for Adversarial Imitation Learning. | Ankur Deka, Changliu Liu, Katia P. Sycara |
| 2022 | LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty. | Mohamad Hosein Danesh, Panpan Cai, David Hsu |
| 2022 | Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System. | Zipeng Dai, Tianze Zhou, Kun Shao, David Henry Mguni, Bin Wang, Jianye Hao |
| 2022 | Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation. | Zoey Qiuyu Chen, Karl Van Wyk, Yu-Wei Chao, Wei Yang, Arsalan Mousavian, Abhishek Gupta, Dieter Fox |
| 2022 | Visuo-Tactile Transformers for Manipulation. | Yizhou Chen, Mark Van der Merwe, Andrea Sipos, Nima Fazeli |
| 2022 | Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations. | Letian Chen, Sravan Jayanthi, Rohan R. Paleja, Daniel Martin, Viacheslav Zakharov, Matthew C. Gombolay |
| 2022 | Efficient and Stable Off-policy Training via Behavior-aware Evolutionary Learning. | Maiyue Chen, Guangyi He |
| 2022 | Learning Interpretable BEV Based VIO without Deep Neural Networks. | Zexi Chen, Haozhe Du, Xuecheng Xu, Rong Xiong, Yiyi Liao, Yue Wang |
| 2022 | Learning Visualization Policies of Augmented Reality for Human-Robot Collaboration. | Kishan Chandan, Jack Albertson, Shiqi Zhang |
| 2022 | Adapting Neural Models with Sequential Monte Carlo Dropout. | Pamela Carreno, Dana Kulic, Michael G. Burke |
| 2022 | Robust Trajectory Prediction against Adversarial Attacks. | Yulong Cao, Danfei Xu, Xinshuo Weng, Zhuoqing Mao, Anima Anandkumar, Chaowei Xiao, Marco Pavone |
| 2022 | CAtNIPP: Context-Aware Attention-based Network for Informative Path Planning. | Yuhong Cao, Yizhuo Wang, Apoorva Vashisth, Haolin Fan, Guillaume Sartoretti |
| 2022 | Volumetric-based Contact Point Detection for 7-DoF Grasping. | Junhao Cai, Jingcheng Su, Zida Zhou, Hui Cheng, Qifeng Chen, Michael Yu Wang |
| 2022 | Offline Reinforcement Learning at Multiple Frequencies. | Kaylee Burns, Tianhe Yu, Chelsea Finn, Karol Hausman |
| 2022 | TRITON: Neural Neural Textures for Better Sim2Real. | Ryan D. Burgert, Jinghuan Shang, Xiang Li, Michael S. Ryoo |
| 2022 | Bayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown Environments. | Matthew Budd, Paul Duckworth, Nick Hawes, Bruno Lacerda |
| 2022 | Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula. | Eli Bronstein, Sirish Srinivasan, Supratik Paul, Aman Sinha, Matthew O'Kelly, Payam Nikdel, Shimon Whiteson |
| 2022 | SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving. | Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki |
| 2022 | PLATO: Predicting Latent Affordances Through Object-Centric Play. | Suneel Belkhale, Dorsa Sadigh |
| 2022 | Hypernetworks in Meta-Reinforcement Learning. | Jacob Beck, Matthew Thomas Jackson, Risto Vuorio, Shimon Whiteson |
| 2022 | LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation. | Florent Bartoccioni, Eloi Zablocki, Andrei Bursuc, Patrick Prez, Matthieu Cord, Karteek Alahari |
| 2022 | Online Inverse Reinforcement Learning with Learned Observation Model. | Saurabh Arora, Prashant Doshi, Bikramjit Banerjee |
| 2022 | Rethinking Optimization with Differentiable Simulation from a Global Perspective. | Rika Antonova, Jingyun Yang, Krishna Murthy Jatavallabhula, Jeannette Bohg |
| 2022 | Graph network simulators can learn discontinuous, rigid contact dynamics. | Kelsey R. Allen, Tatiana Lopez-Guevara, Yulia Rubanova, Kimberly L. Stachenfeld, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff |
| 2022 | Decentralized Data Collection for Robotic Fleet Learning: A Game-Theoretic Approach. | Oguzhan Akcin, Po-han Li, Shubhankar Agarwal, Sandeep P. Chinchali |
626–650 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