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 |
|---|---|---|
| 2019 | Macro-Action-Based Deep Multi-Agent Reinforcement Learning. | Yuchen Xiao, Joshua Hoffman, Christopher Amato |
| 2019 | Model-based Behavioral Cloning with Future Image Similarity Learning. | Alan Wu, A. J. Piergiovanni, Michael S. Ryoo |
| 2019 | MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning. | Bohan Wu, Iretiayo Akinola, Jacob Varley, Peter K. Allen |
| 2019 | Identifying Unknown Instances for Autonomous Driving. | Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun |
| 2019 | Learning to Manipulate Object Collections Using Grounded State Representations. | Matthew Wilson, Tucker Hermans |
| 2019 | Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control. | Grady R. Williams, Brian Goldfain, Keuntaek Lee, Jason Gibson, James M. Rehg, Evangelos A. Theodorou |
| 2019 | Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments. | Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Ebrahimi Kahou, Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal |
| 2019 | Energy-efficient Path Planning for Ground Robots by and Combining Air and Ground Measurements. | Minghan Wei, Volkan Isler |
| 2019 | Stochastic Optimal Control as Approximate Input Inference. | Joe Watson, Hany Abdulsamad, Jan Peters |
| 2019 | Entity Abstraction in Visual Model-Based Reinforcement Learning. | Rishi Veerapaneni, John D. Co-Reyes, Michael Chang, Michael Janner, Chelsea Finn, Jiajun Wu, Joshua B. Tenenbaum, Sergey Levine |
| 2019 | Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration. | Vaibhav V. Unhelkar, Shen Li, Julie A. Shah |
| 2019 | Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks. | Ekaterina I. Tolstaya, Fernando Gama, James Paulos, George J. Pappas, Vijay Kumar, Alejandro Ribeiro |
| 2019 | Vision-and-Dialog Navigation. | Jesse Thomason, Michael Murray, Maya Cakmak, Luke Zettlemoyer |
| 2019 | Worst Cases Policy Gradients. | Yichuan Charlie Tang, Jian Zhang, Ruslan Salakhutdinov |
| 2019 | Graph-Structured Visual Imitation. | Maximilian Sieb, Xian Zhou, Audrey Huang, Oliver Kroemer, Katerina Fragkiadaki |
| 2019 | Optimizing Sequences of Probabilistic Manipulation Skills Learned from Demonstration. | Lukas Schwenkel, Meng Guo, Mathias Brger |
| 2019 | Receding Horizon Curiosity. | Matthias Schultheis, Boris Belousov, Hany Abdulsamad, Jan Peters |
| 2019 | Learning to Navigate Using Mid-Level Visual Priors. | Alexander Sax, Jeffrey O. Zhang, Bradley Emi, Amir Zamir, Silvio Savarese, Leonidas J. Guibas, Jitendra Malik |
| 2019 | Understanding Teacher Gaze Patterns for Robot Learning. | Akanksha Saran, Elaine Schaertl Short, Andrea Thomaz, Scott Niekum |
| 2019 | Conditional Driving from Natural Language Instructions. | Junha Roh, Chris Paxton, Andrzej Pronobis, Ali Farhadi, Dieter Fox |
| 2019 | Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations. | Muhammad Asif Rana, Anqi Li, Harish Ravichandar, Mustafa Mukadam, Sonia Chernova, Dieter Fox, Byron Boots, Nathan D. Ratliff |
| 2019 | S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes. | Yuzhe Qin, Rui Chen, Hao Zhu, Meng Song, Jing Xu, Hao Su |
| 2019 | Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments. | Rmy Portelas, Cdric Colas, Katja Hofmann, Pierre-Yves Oudeyer |
| 2019 | Language-guided Semantic Mapping and Mobile Manipulation in Partially Observable Environments. | Siddharth Patki, Ethan Fahnestock, Thomas M. Howard, Matthew R. Walter |
| 2019 | Inferring Task Goals and Constraints using Bayesian Nonparametric Inverse Reinforcement Learning. | Daehyung Park, Michael Noseworthy, Rohan Paul, Subhro Roy, Nicholas Roy |
1,001–1,025 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