Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,549)
Clear ✕Asymmetric Actor Critic for Image-Based Robot Learning
Lerrel Pinto, Marcin Andrychowicz, Peter Welinder +2 more
2017
Map-based Multi-Policy Reinforcement Learning: Enhancing Adaptability of Robots by Deep Reinforcement Learning
Ayaka Kume, Eiichi Matsumoto, Kuniyuki Takahashi +2 more
2017
Stochastic Variance Reduction for Policy Gradient Estimation
Tianbing Xu, Qiang Liu, Jian Peng
2017
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation
Wei Gao, David Hsu, Wee Sun Lee +2 more
2017
Text2Action: Generative Adversarial Synthesis from Language to Action
Hyemin Ahn, Timothy Ha, Yunho Choi +2 more
2017
CINet: A Learning Based Approach to Incremental Context Modeling in Robots
Fethiye Irmak Doğan, İlker Bozcan, Mehmet Çelik +1 more
2017
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning
Aleksandra Faust, Oscar Ramirez, Marek Fiser +4 more
2017
Interactive Learning of State Representation through Natural Language Instruction and Explanation
Qiaozi Gao, Lanbo She, Joyce Y. Chai
2017
Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning
Lei Tai, Jingwei Zhang, Ming Liu +1 more
2017
End-to-end Driving via Conditional Imitation Learning
Felipe Codevilla, Matthias Müller, Antonio López +2 more
2017
Dense RGB-D semantic mapping with Pixel-Voxel neural network
Cheng Zhao, Li Sun, Pulak Purkait +1 more
2017
Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation
Gregory Kahn, Adam Villaflor, Bosen Ding +2 more
2017
Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning
Georgios Detorakis, Sadique Sheik, Charles Augustine +6 more
2017
Overcoming Exploration in Reinforcement Learning with Demonstrations
Ashvin Nair, Bob McGrew, Marcin Andrychowicz +2 more
2017
Fast Shadow Detection from a Single Image Using a Patched Convolutional Neural Network
Sepideh Hosseinzadeh, Moein Shakeri, Hong Zhang
2017
Learning to Label Affordances from Simulated and Real Data
Timo Lüddecke, Florentin Wörgötter
2017
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals
Xiang Zhang, Lina Yao, Quan Z. Sheng +3 more
2017
Towards continuous control of flippers for a multi-terrain robot using deep reinforcement learning
Giuseppe Paolo, Lei Tai, Ming Liu
2017
An Optimal Online Method of Selecting Source Policies for Reinforcement Learning
Siyuan Li, Chongjie Zhang
2017
OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World
Tu-Hoa Pham, Giovanni De Magistris, Ryuki Tachibana
2017
Inverse Reinforcement Learning with Conditional Choice Probabilities
Mohit Sharma, Kris M. Kitani, Joachim Groeger
2017
SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes
Trung Pham, Thanh-Toan Do, Niko Sünderhauf +1 more
2017
DropoutDAgger: A Bayesian Approach to Safe Imitation Learning
Kunal Menda, Katherine Driggs-Campbell, Mykel J. Kochenderfer
2017
Long-Term Ensemble Learning of Visual Place Classifiers
Xiaoxiao Fei, Kanji Tanaka, Yichu Fang +1 more
2017