Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration
Alexandre Péré, Sébastien Forestier, Olivier Sigaud +1 more
2018
One Big Net For Everything
Juergen Schmidhuber
2018
Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks
Daniel Tanneberg, Jan Peters, Elmar Rueckert
2018
Reactive Reinforcement Learning in Asynchronous Environments
Jaden B. Travnik, Kory W. Mathewson, Richard S. Sutton +1 more
2018
Diversity is All You Need: Learning Skills without a Reward Function
Benjamin Eysenbach, Abhishek Gupta, Julian Ibarz +1 more
2018
State Representation Learning for Control: An Overview
Timothée Lesort, Natalia Díaz-Rodríguez, Jean-François Goudou +1 more
2018
VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control
Jingwei Zhang, Lei Tai, Peng Yun +4 more
2018
Safe Exploration in Continuous Action Spaces
Gal Dalal, Krishnamurthy Dvijotham, Matej Vecerik +3 more
2018
Deep Episodic Memory: Encoding, Recalling, and Predicting Episodic Experiences for Robot Action Execution
Jonas Rothfuss, Fabio Ferreira, Eren Erdal Aksoy +2 more
2018
Approximate FPGA-based LSTMs under Computation Time Constraints
Michalis Rizakis, Stylianos I. Venieris, Alexandros Kouris +1 more
2018
Implementation of Deep Convolutional Neural Network in Multi-class Categorical Image Classification
Pushparaja Murugan
2018
An Incremental Self-Organizing Architecture for Sensorimotor Learning and Prediction
Luiza Mici, German I. Parisi, Stefan Wermter
2017
Collision Selective Visual Neural Network Inspired by LGMD2 Neurons in Juvenile Locusts
Qinbing Fu, Cheng Hu, Shigang Yue
2017
Multiagent-based Participatory Urban Simulation through Inverse Reinforcement Learning
Soma Suzuki
2017
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such +3 more
2017
Inverse Reinforce Learning with Nonparametric Behavior Clustering
Siddharthan Rajasekaran, Jinwei Zhang, Jie Fu
2017
Learning to Navigate by Growing Deep Networks
Thushan Ganegedara, Lionel Ott, Fabio Ramos
2017
Domain Adaptation Using Adversarial Learning for Autonomous Navigation
Jaeyoon Yoo, Yongjun Hong, YungKyun Noh +1 more
2017
Autonomous development and learning in artificial intelligence and robotics: Scaling up deep learning to human--like learning
Pierre-Yves Oudeyer
2017
Learning Multi-Level Hierarchies with Hindsight
Andrew Levy, George Konidaris, Robert Platt +1 more
2017
HoME: a Household Multimodal Environment
Simon Brodeur, Ethan Perez, Ankesh Anand +6 more
2017
One-Shot Reinforcement Learning for Robot Navigation with Interactive Replay
Jake Bruce, Niko Suenderhauf, Piotr Mirowski +2 more
2017
Teaching a Machine to Read Maps with Deep Reinforcement Learning
Gino Brunner, Oliver Richter, Yuyi Wang +1 more
2017
Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments
Peter Anderson, Qi Wu, Damien Teney +6 more
2017