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
2019	RoboNet: Large-Scale Multi-Robot Learning.	Sudeep Dasari, Frederik Ebert, Stephen Tian, Suraj Nair, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Sergey Levine, Chelsea Finn
2019	Learning Parametric Constraints in High Dimensions from Demonstrations.	Glen Chou, Necmiye Ozay, Dmitry Berenson
2019	Provably Robust Blackbox Optimization for Reinforcement Learning.	Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Deepali Jain, Yuxiang Yang, Atil Iscen, Jasmine Hsu, Vikas Sindhwani
2019	Learning Compact Models for Planning with Exogenous Processes.	Rohan Chitnis, Toms Lozano-Prez
2019	Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods.	Ching-An Cheng, Xinyan Yan, Byron Boots
2019	Counter-example Guided Learning of Bounds on Environment Behavior.	Yuxiao Chen, Sumanth Dathathri, Tung Phan-Minh, Richard M. Murray
2019	MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction.	Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov
2019	An Online Learning Procedure for Feedback Linearization Control without Torque Measurements.	Marco Capotondi, Giulio Turrisi, Claudio Gaz, Valerio Modugno, Giuseppe Oriolo, Alessandro De Luca
2019	Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models.	Arunkumar Byravan, Jost Tobias Springenberg, Abbas Abdolmaleki, Roland Hafner, Michael Neunert, Thomas Lampe, Noah Y. Siegel, Nicolas Heess, Martin A. Riedmiller
2019	Hybrid system identification using switching density networks.	Michael Burke, Yordan Hristov, Subramanian Ramamoorthy
2019	Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations.	Daniel S. Brown, Wonjoon Goo, Scott Niekum
2019	Regularizing Model-Based Planning with Energy-Based Models.	Rinu Boney, Juho Kannala, Alexander Ilin
2019	Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated Flight.	Valts Blukis, Yannick Terme, Eyvind Niklasson, Ross A. Knepper, Yoav Artzi
2019	Asking Easy Questions: A User-Friendly Approach to Active Reward Learning.	Erdem Biyik, Malayandi Palan, Nicholas C. Landolfi, Dylan P. Losey, Dorsa Sadigh
2019	Curious iLQR: Resolving Uncertainty in Model-based RL.	Sarah Bechtle, Yixin Lin, Akshara Rai, Ludovic Righetti, Franziska Meier
2019	Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information.	Dan Barnes, Rob Weston, Ingmar Posner
2019	Combining Optimal Control and Learning for Visual Navigation in Novel Environments.	Somil Bansal, Varun Tolani, Saurabh Gupta, Jitendra Malik, Claire J. Tomlin
2019	On-Policy Robot Imitation Learning from a Converging Supervisor.	Ashwin Balakrishna, Brijen Thananjeyan, Jonathan Lee, Felix Li, Arsh Zahed, Joseph E. Gonzalez, Ken Goldberg
2019	Bayesian Optimization in Variational Latent Spaces with Dynamic Compression.	Rika Antonova, Akshara Rai, Tianyu Li, Danica Kragic
2019	Combining Deep Learning and Verification for Precise Object Instance Detection.	Siddharth Ancha, Junyu Nan, David Held
2019	Two Stream Networks for Self-Supervised Ego-Motion Estimation.	Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon
2019	TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer.	Adam Allevato, Elaine Schaertl Short, Mitch Pryor, Andrea Thomaz
2019	ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots.	Michael Ahn, Henry Zhu, Kristian Hartikainen, Hugo Ponte, Abhishek Gupta, Sergey Levine, Vikash Kumar
2019	Learning to Generalize Kinematic Models to Novel Objects.	Ben Abbatematteo, Stefanie Tellex, George Konidaris
2019	Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning.	Abhishek Gupta, Vikash Kumar, Corey Lynch, Sergey Levine, Karol Hausman

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