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 ✕Towards More Sample Efficiency in Reinforcement Learning with Data Augmentation
Yijiong Lin, Jiancong Huang, Matthieu Zimmer +2 more
2019
OffWorld Gym: open-access physical robotics environment for real-world reinforcement learning benchmark and research
Ashish Kumar, Toby Buckley, John B. Lanier +3 more
2019
Learning Compositional Koopman Operators for Model-Based Control
Yunzhu Li, Hao He, Jiajun Wu +2 more
2019
Toward 3D Object Reconstruction from Stereo Images
Haozhe Xie, Hongxun Yao, Shangchen Zhou +3 more
2019
Zero-shot Policy Learning with Spatial Temporal RewardDecomposition on Contingency-aware Observation
Huazhe Xu, Boyuan Chen, Yang Gao +1 more
2019
Recurrent Attentive Neural Process for Sequential Data
Shenghao Qin, Jiacheng Zhu, Jimmy Qin +2 more
2019
Dynamic Attention Networks for Task Oriented Grounding
Soumik Dasgupta, Badri N. Patro, Vinay P. Namboodiri
2019
Deep learning for Aerosol Forecasting
Caleb Hoyne, S. Karthik Mukkavilli, David Meger
2019
Federated Transfer Reinforcement Learning for Autonomous Driving
Xinle Liang, Yang Liu, Tianjian Chen +2 more
2019
Neural Collision Clearance Estimator for Batched Motion Planning
J. Chase Kew, Brian Ichter, Maryam Bandari +2 more
2019
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning
Kimin Lee, Kibok Lee, Jinwoo Shin +1 more
2019
Black-box Optimizer with Implicit Natural Gradient
Yueming Lyu, Ivor W. Tsang
2019
Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods
René Carmona, Mathieu Laurière, Zongjun Tan
2019
Ctrl-Z: Recovering from Instability in Reinforcement Learning
Vibhavari Dasagi, Jake Bruce, Thierry Peynot +1 more
2019
Model-based Behavioral Cloning with Future Image Similarity Learning
Alan Wu, AJ Piergiovanni, Michael S. Ryoo
2019
Tactical Reward Shaping: Bypassing Reinforcement Learning with Strategy-Based Goals
Yizheng Zhang, Andre Rosendo
2019
Stochastic Optimal Control as Approximate Input Inference
Joe Watson, Hany Abdulsamad, Jan Peters
2019
Self-Paced Contextual Reinforcement Learning
Pascal Klink, Hany Abdulsamad, Boris Belousov +1 more
2019
Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping
Mustafa Mukadam, Ching-An Cheng, Dieter Fox +2 more
2019
Higher Order Function Networks for View Planning and Multi-View Reconstruction
Selim Engin, Eric Mitchell, Daewon Lee +2 more
2019
Talk2Nav: Long-Range Vision-and-Language Navigation with Dual Attention and Spatial Memory
Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool
2019
I'm sorry Dave, I'm afraid I can't do that, Deep Q-learning from forbidden action
Mathieu Seurin, Philippe Preux, Olivier Pietquin
2019
Zero Shot Learning on Simulated Robots
Robert Kwiatkowski, Hod Lipson
2019
Prediction of Human Full-Body Movements with Motion Optimization and Recurrent Neural Networks
Philipp Kratzer, Marc Toussaint, Jim Mainprice
2019