CoRL

Driving Policy Transfer via Modularity and Abstraction

Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem, Vladlen Koltun

Comments Accepted at Conference on Robotic Learning (CoRL'18) http://proceedings.mlr.press/v87/mueller18a.html

Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction

Valts Blukis, Dipendra Misra, Ross A. Knepper, Yoav Artzi

Comments Appeared in Conference on Robot Learning 2018

Journal ref In Conference on Robot Learning (pp. 505-518) (2018)

QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

Dmitry Kalashnikov, Alex Irpan, Peter Pastor, Julian Ibarz, Alexander Herzog, Eric Jang, Deirdre Quillen, Ethan Holly, Mrinal Kalakrishnan, Vincent Vanhoucke, Sergey Levine

Comments CoRL 2018 camera ready. 23 pages, 14 figures

Grasp2Vec: Learning Object Representations from Self-Supervised Grasping

Eric Jang, Coline Devin, Vincent Vanhoucke, Sergey Levine

Comments CoRL 2018. Eric Jang and Coline Devin contributed equally to this work

Journal ref Proceedings of The 2nd Conference on Robot Learning, in PMLR 87:99-112 (2018)

Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation

Fan Wang, Bo Zhou, Ke Chen, Tingxiang Fan, Xi Zhang, Jiangyong Li, Hao Tian, Jia Pan

Journal ref Wang, F., Zhou, B., Chen, K., Fan, T., Zhang, X., Li, J., ... & Pan, J. (2018, October). Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation. In Conference on Robot Learning (pp. 410-421)

Reward Estimation for Variance Reduction in Deep Reinforcement Learning

Joshua Romoff, Peter Henderson, Alexandre Piché, Vincent Francois-Lavet, Joelle Pineau

Comments Version 1 as appears in the International Conference on Learning Representations (ICLR) 2018 Workshop Track; Version 2 as appears in the Proceedings of The 2nd Conference on Robot Learning

RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation

Ajay Mandlekar, Yuke Zhu, Animesh Garg, Jonathan Booher, Max Spero, Albert Tung, Julian Gao, John Emmons, Anchit Gupta, Emre Orbay, Silvio Savarese, Li Fei-Fei

Comments Published at the Conference on Robot Learning (CoRL) 2018

Curiosity Driven Exploration of Learned Disentangled Goal Spaces

Adrien Laversanne-Finot, Alexandre Péré, Pierre-Yves Oudeyer

Comments The code used in the experiments is available at https://github.com/flowersteam/Curiosity_Driven_Goal_Exploration

Journal ref Proceedings of The 2nd Conference on Robot Learning, PMLR 87:487-504, 2018

Learning under Misspecified Objective Spaces

Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Anca D. Dragan

Comments Conference on Robot Learning (CoRL) 2018

GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning

Jacky Liang, Viktor Makoviychuk, Ankur Handa, Nuttapong Chentanez, Miles Macklin, Dieter Fox

Comments Accepted and to appear at the Conference on Robot Learning (CoRL) 2018

Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories

Yanfu Zhang, Wenshan Wang, Rogerio Bonatti, Daniel Maturana, Sebastian Scherer

Comments CoRL 2018

Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation

Gregory Kahn, Adam Villaflor, Pieter Abbeel, Sergey Levine

Comments Accepted to the Conference on Robot Learning (CoRL) 2018. Video at https://youtu.be/lOLT7zifEkg

Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation

Pratyusha Sharma, Lekha Mohan, Lerrel Pinto, Abhinav Gupta

Comments 10 pages, CoRL 2018

Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation

Rika Antonova, Mia Kokic, Johannes A. Stork, Danica Kragic

Comments To appear in 2nd Conference on Robot Learning (CoRL) 2018

Batch Active Preference-Based Learning of Reward Functions

Erdem Bıyık, Dorsa Sadigh

Comments Proceedings of the 2nd Conference on Robot Learning (CoRL), October 2018

Task-Embedded Control Networks for Few-Shot Imitation Learning

Stephen James, Michael Bloesch, Andrew J. Davison

Comments Published at the Conference on Robot Learning (CoRL) 2018

Sim-to-Real Reinforcement Learning for Deformable Object Manipulation

Jan Matas, Stephen James, Andrew J. Davison

Comments Published at the Conference on Robot Learning (CoRL) 2018

Personalized Dynamics Models for Adaptive Assistive Navigation Systems

Eshed Ohn-Bar, Kris Kitani, Chieko Asakawa

Comments Oral Presentation in 2nd Conference on Robot Learning (CoRL, 2018)

Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning

Frederik Ebert, Sudeep Dasari, Alex X. Lee, Sergey Levine, Chelsea Finn

Comments accepted at the Conference on Robot Learning (CoRL) 2018

Sparse Gaussian Process Temporal Difference Learning for Marine Robot Navigation

John Martin, Jinkun Wang, Brendan Englot

Comments 2018 Conference on Robot Learning (CoRL)

Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition

Jianwei Yang, Jiasen Lu, Stefan Lee, Dhruv Batra, Devi Parikh

Comments 18 pages, 10 figures, Oral Presentation in Conference on Robot Learning (CoRL) 2018

Interpretable Latent Spaces for Learning from Demonstration

Yordan Hristov, Alex Lascarides, Subramanian Ramamoorthy

Comments 12 pages, 6 figures, accepted at the Conference on Robot Learning (CoRL) 2018, Zurich, Switzerland

Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs

Patrick Wenzel, Qadeer Khan, Daniel Cremers, Laura Leal-Taixé

Comments 2nd Conference on Robot Learning (CoRL 2018), Zürich, Switzerland

Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects

Jonathan Tremblay, Thang To, Balakumar Sundaralingam, Yu Xiang, Dieter Fox, Stan Birchfield

Comments Conference on Robot Learning (CoRL) 2018

Learning What Information to Give in Partially Observed Domains

Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez

Comments CoRL 2018 final version

SPNets: Differentiable Fluid Dynamics for Deep Neural Networks

Connor Schenck, Dieter Fox

Comments Conference on Robot Learning (CoRL) 2018

Benchmarking Reinforcement Learning Algorithms on Real-World Robots

A. Rupam Mahmood, Dmytro Korenkevych, Gautham Vasan, William Ma, James Bergstra

Comments Appears in Proceedings of the Second Conference on Robot Learning (CoRL 2018). Companion video at https://youtu.be/ovDfhvjpQd8 and source code at https://github.com/kindredresearch/SenseAct

Leveraging Deep Visual Descriptors for Hierarchical Efficient Localization

Paul-Edouard Sarlin, Frédéric Debraine, Marcin Dymczyk, Roland Siegwart, Cesar Cadena

Comments CoRL 2018 Camera-ready (fix typos and update citations)

Learning Neural Parsers with Deterministic Differentiable Imitation Learning

Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling, Kris M. Kitani

Comments Accepted to Conference on Robot Learning, CoRL 2018

Model-Based Reinforcement Learning via Meta-Policy Optimization

Ignasi Clavera, Jonas Rothfuss, John Schulman, Yasuhiro Fujita, Tamim Asfour, Pieter Abbeel

Comments First 2 authors contributed equally. Accepted for Conference on Robot Learning (CoRL)