CoRL

Including Uncertainty when Learning from Human Corrections

Dylan P. Losey, Marcia K. O'Malley

Comments Accepted for publication at the 2nd Conference on Robot Learning (CoRL), October 2018

Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents

Haonan Yu, Xiaochen Lian, Haichao Zhang, Wei Xu

Comments CoRL 2018

Reverse Curriculum Generation for Reinforcement Learning

Carlos Florensa, David Held, Markus Wulfmeier, Michael Zhang, Pieter Abbeel

Comments Published at the 1st Conference on Robot Learning (CoRL 2017)

DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations

Sanjay Krishnan, Roy Fox, Ion Stoica, Ken Goldberg

Comments Published at CoRL 2017

Journal ref 1st Conference on Robot Learning (CoRL 2017)

DART: Noise Injection for Robust Imitation Learning

Michael Laskey, Jonathan Lee, Roy Fox, Anca Dragan, Ken Goldberg

Journal ref 1st Conference on Robot Learning (CoRL 2017)

Learning a visuomotor controller for real world robotic grasping using simulated depth images

Ulrich Viereck, Andreas ten Pas, Kate Saenko, Robert Platt

Comments 1st Conference on Robot Learning (CoRL), 13-15 November 2017, Mountain View, CA

CARLA: An Open Urban Driving Simulator

Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, Vladlen Koltun

Comments Published at the 1st Conference on Robot Learning (CoRL)

Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation

Guan-Horng Liu, Avinash Siravuru, Sai Prabhakar, Manuela Veloso, George Kantor

Comments to be published in Conference on Robot Learning (CoRL), 2017

Improved Adversarial Systems for 3D Object Generation and Reconstruction

Edward Smith, David Meger

Comments 10 pages, accepted at CORL. Figures are best view in color, and details only appear when zoomed in

Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial Networks

Zackory Erickson, Sonia Chernova, Charles C. Kemp

Comments 11 pages, 6 figures, 6 tables, 1st Conference on Robot Learning (CoRL 2017)

Journal ref PMLR 78:157-166 (2017)

Learning Robotic Manipulation of Granular Media

Connor Schenck, Jonathan Tompson, Dieter Fox, Sergey Levine

Comments Proceedings of the Conference on Robot Learning 2017 (CoRL) (to appear)

Gradient-free Policy Architecture Search and Adaptation

Sayna Ebrahimi, Anna Rohrbach, Trevor Darrell

Comments Accepted in Conference on Robot Learning, 2017

Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation

Wei Gao, David Hsu, Wee Sun Lee, Shengmei Shen, Karthikk Subramanian

Comments Published in 1st Annual Conference on Robot Learning (CoRL 2017)

Self-Supervised Visual Planning with Temporal Skip Connections

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

Comments accepted at the Conference on Robot Learning (CoRL) 2017

Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task

Stephen James, Andrew J. Davison, Edward Johns

Comments 1st Conference on Robot Learning (CoRL 2017), Mountain View, United States

Manifold Regularization for Kernelized LSTD

Xinyan Yan, Krzysztof Choromanski, Byron Boots, Vikas Sindhwani

Comments 6 pages, CoRL 2017 non-archival track

One-Shot Visual Imitation Learning via Meta-Learning

Chelsea Finn, Tianhe Yu, Tianhao Zhang, Pieter Abbeel, Sergey Levine

Comments Conference on Robot Learning, 2017 (to appear). First two authors contributed equally. Video available at https://sites.google.com/view/one-shot-imitation