Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,574)
Clear ✕Characterizing Attacks on Deep Reinforcement Learning
Xinlei Pan, Chaowei Xiao, Warren He +8 more
2019
Learning High-Level Planning Symbols from Intrinsically Motivated Experience
Angelo Oddi, Riccardo Rasconi, Emilio Cartoni +3 more
2019
Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery
Kristian Hartikainen, Xinyang Geng, Tuomas Haarnoja +1 more
2019
Composing Diverse Policies for Temporally Extended Tasks
Daniel Angelov, Yordan Hristov, Michael Burke +1 more
2019
Transfer Learning Across Simulated Robots With Different Sensors
Hélène Plisnier, Denis Steckelmacher, Diederik Roijers +1 more
2019
Learning Variable Impedance Control for Contact Sensitive Tasks
Miroslav Bogdanovic, Majid Khadiv, Ludovic Righetti
2019
Autonomous Driving in the Lung using Deep Learning for Localization
Jake Sganga, David Eng, Chauncey Graetzel +1 more
2019
EnforceNet: Monocular Camera Localization in Large Scale Indoor Sparse LiDAR Point Cloud
Yu Chen, Guan Wang
2019
Separable Convolutional LSTMs for Faster Video Segmentation
Andreas Pfeuffer, Klaus Dietmayer
2019
Mutual Reinforcement Learning
Sayanti Roy, Emily Kieson, Charles Abramson +1 more
2019
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners
Ahmed H. Qureshi, Yinglong Miao, Anthony Simeonov +1 more
2019
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling
Yuping Luo, Huazhe Xu, Tengyu Ma
2019
DisCoRL: Continual Reinforcement Learning via Policy Distillation
René Traoré, Hugo Caselles-Dupré, Timothée Lesort +4 more
2019
Reinforcement Learning with Chromatic Networks for Compact Architecture Search
Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder +6 more
2019
RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies
Hao-Tien Lewis Chiang, Jasmine Hsu, Marek Fiser +2 more
2019
Toward a Procedural Fruit Tree Rendering Framework for Image Analysis
Thomas Duboudin, Maxime Petit, Liming Chen
2019
Assessing Transferability from Simulation to Reality for Reinforcement Learning
Fabio Muratore, Michael Gienger, Jan Peters
2019
Multi-layer Attention Mechanism for Speech Keyword Recognition
Ruisen Luo, Tianran Sun, Chen Wang +5 more
2019
DOB-Net: Actively Rejecting Unknown Excessive Time-Varying Disturbances
Tianming Wang, Wenjie Lu, Zheng Yan +1 more
2019
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning
Michael Lutter, Christian Ritter, Jan Peters
2019
Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems
Michael Lutter, Kim Listmann, Jan Peters
2019
Partially Observable Planning and Learning for Systems with Non-Uniform Dynamics
Nicholas Collins, Hanna Kurniawati
2019
A review on deep learning techniques for 3D sensed data classification
David Griffiths, Jan Boehm
2019
Influence of Pointing on Learning to Count: A Neuro-Robotics Model
Leszek Pecyna, Angelo Cangelosi
2019