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 ✕Learning to Engage with Interactive Systems: A Field Study on Deep Reinforcement Learning in a Public Museum
Lingheng Meng, Daiwei Lin, Adam Francey +3 more
2019
Combining Physical Simulators and Object-Based Networks for Control
Anurag Ajay, Maria Bauza, Jiajun Wu +4 more
2019
Improvisation through Physical Understanding: Using Novel Objects as Tools with Visual Foresight
Annie Xie, Frederik Ebert, Sergey Levine +1 more
2019
Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout
Hao Tan, Licheng Yu, Mohit Bansal
2019
Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer
Edward Beeching, Christian Wolf, Jilles Dibangoye +1 more
2019
Learning Matchable Image Transformations for Long-term Metric Visual Localization
Lee Clement, Mona Gridseth, Justin Tomasi +1 more
2019
Risk Averse Robust Adversarial Reinforcement Learning
Xinlei Pan, Daniel Seita, Yang Gao +1 more
2019
Towards Brain-inspired System: Deep Recurrent Reinforcement Learning for Simulated Self-driving Agent
Jieneng Chen, Jingye Chen, Ruiming Zhang +1 more
2019
Automatic Defect Segmentation on Leather with Deep Learning
Sze-Teng Liong, Y. S. Gan, Yen-Chang Huang +2 more
2019
How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies?
Quan Vuong, Sharad Vikram, Hao Su +2 more
2019
Autoregressive Policies for Continuous Control Deep Reinforcement Learning
Dmytro Korenkevych, A. Rupam Mahmood, Gautham Vasan +1 more
2019
Generalized Off-Policy Actor-Critic
Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson
2019
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies
Riley Simmons-Edler, Ben Eisner, Eric Mitchell +2 more
2019
Computational and Robotic Models of Early Language Development: A Review
Pierre-Yves Oudeyer, George Kachergis, William Schueller
2019
Localization of Unmanned Aerial Vehicles in Corridor Environments using Deep Learning
Ram Prasad Padhy, Shahzad Ahmad, Sachin Verma +2 more
2019
Implicit Generation and Generalization in Energy-Based Models
Yilun Du, Igor Mordatch
2019
What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction
Christoph Schöller, Vincent Aravantinos, Florian Lay +1 more
2019
EV-IMO: Motion Segmentation Dataset and Learning Pipeline for Event Cameras
Anton Mitrokhin, Chengxi Ye, Cornelia Fermuller +2 more
2019
Visual recognition in the wild by sampling deep similarity functions
Mikhail Usvyatsov, Konrad Schindler
2019
Generate What You Can't See - a View-dependent Image Generation
Karol Piaskowski, Rafal Staszak, Dominik Belter
2019
ROS2Learn: a reinforcement learning framework for ROS 2
Yue Leire Erro Nuin, Nestor Gonzalez Lopez, Elias Barba Moral +4 more
2019
gym-gazebo2, a toolkit for reinforcement learning using ROS 2 and Gazebo
Nestor Gonzalez Lopez, Yue Leire Erro Nuin, Elias Barba Moral +4 more
2019
Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks
Sanjay Thakur, Herke van Hoof, Juan Camilo Gamboa Higuera +2 more
2019
Cleaning tasks knowledge transfer between heterogeneous robots: a deep learning approach
Jaeseok Kim, Nino Cauli, Pedro Vicente +4 more
2019