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 ✕Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
Tom Silver, Rohan Chitnis, Aidan Curtis +3 more
2020
Embodied Visual Navigation with Automatic Curriculum Learning in Real Environments
Steven D. Morad, Roberto Mecca, Rudra P. K. Poudel +2 more
2020
A framework for reinforcement learning with autocorrelated actions
Marcin Szulc, Jakub Łyskawa, Paweł Wawrzyński
2020
Flightmare: A Flexible Quadrotor Simulator
Yunlong Song, Selim Naji, Elia Kaufmann +2 more
2020
Scaling Up Deep Neural Network Optimization for Edge Inference
Bingqian Lu, Jianyi Yang, Shaolei Ren
2020
LodoNet: A Deep Neural Network with 2D Keypoint Matchingfor 3D LiDAR Odometry Estimation
Ce Zheng, Yecheng Lyu, Ming Li +1 more
2020
Control of a Nature-inspired Scorpion using Reinforcement Learning
Aakriti Agrawal, V S Rajashekhar, Rohitkumar Arasanipalai +1 more
2020
ROS-Neuro Integration of Deep Convolutional Autoencoders for EEG Signal Compression in Real-time BCIs
Andrea Valenti, Michele Barsotti, Raffaello Brondi +2 more
2020
Deep Reinforcement Learning for Contact-Rich Skills Using Compliant Movement Primitives
Oren Spector, Miriam Zacksenhouse
2020
Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems
Vinicius G. Goecks
2020
Sample Efficiency in Sparse Reinforcement Learning: Or Your Money Back
Trevor A. McInroe
2020
Gesture Recognition from Skeleton Data for Intuitive Human-Machine Interaction
André Brás, Miguel Simão, Pedro Neto
2020
Applying Surface Normal Information in Drivable Area and Road Anomaly Detection for Ground Mobile Robots
Hengli Wang, Rui Fan, Yuxiang Sun +1 more
2020
t-Soft Update of Target Network for Deep Reinforcement Learning
Taisuke Kobayashi, Wendyam Eric Lionel Ilboudo
2020
TORNADO-Net: mulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module
Martin Gerdzhev, Ryan Razani, Ehsan Taghavi +1 more
2020
LC-NAS: Latency Constrained Neural Architecture Search for Point Cloud Networks
Guohao Li, Mengmeng Xu, Silvio Giancola +2 more
2020
Learning Off-Policy with Online Planning
Harshit Sikchi, Wenxuan Zhou, David Held
2020
Adaptive and Multiple Time-scale Eligibility Traces for Online Deep Reinforcement Learning
Taisuke Kobayashi
2020
ADAIL: Adaptive Adversarial Imitation Learning
Yiren Lu, Jonathan Tompson
2020
A Composable Specification Language for Reinforcement Learning Tasks
Kishor Jothimurugan, Rajeev Alur, Osbert Bastani
2020
A Framework for Studying Reinforcement Learning and Sim-to-Real in Robot Soccer
Hansenclever F. Bassani, Renie A. Delgado, José Nilton de O. Lima Junior +5 more
2020
Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning
Florian Fuchs, Yunlong Song, Elia Kaufmann +2 more
2020
Learning to Actively Reduce Memory Requirements for Robot Control Tasks
Meghan Booker, Anirudha Majumdar
2020
Forward and inverse reinforcement learning sharing network weights and hyperparameters
Eiji Uchibe, Kenji Doya
2020