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 ✕Supervised Policy Update for Deep Reinforcement Learning
Quan Vuong, Yiming Zhang, Keith W. Ross
2018
PRED18: Dataset and Further Experiments with DAVIS Event Camera in Predator-Prey Robot Chasing
Diederik Paul Moeys, Daniel Neil, Federico Corradi +6 more
2018
VPE: Variational Policy Embedding for Transfer Reinforcement Learning
Isac Arnekvist, Danica Kragić, Johannes A. Stork
2018
3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic Repair
Jian-Qing Zheng, Xiao-Yun Zhou, Celia Riga +1 more
2018
Potentials and Limitations of Deep Neural Networks for Cognitive Robots
Doreen Jirak, Stefan Wermter
2018
Intent-aware Multi-agent Reinforcement Learning
Siyuan Qi, Song‐Chun Zhu
2018
An improved CUDA-based hybrid metaheuristic for fast controller of an evolutionary robot
Nesrine Ouannes, Yves Duthen, Salim Bitam +2 more
2018
Sequential Action Selection and Active Sensing for Budgeted Localization in Robot Navigation
Nassim Aklil, Benoît Girard, Ludovic Denoyer +1 more
2018
Supervised Neural Network Learning with an Environment Adapted Supervision Based on Motivation Learning Factors
Maciej Janowski, Adrian Horzyk
2018
Mobile/embedded DNN and AI SoCs
Hoi‐Jun Yoo
2018
AI: What Have You Done for Us Lately?
Richard Torres, Eben Olson
2018
Research on control method of drill pipe assembling and discharge robot based on neural network and Bezier spline trajectory planning
Han Xiangdong, Wang Xiu, Sun Jian-bo +1 more
2018
One-Shot Learning of Multi-Step Tasks from Observation via Activity Localization in Auxiliary Video
Wonjoon Goo, Scott Niekum
2018
End-to-End Deep Imitation Learning: Robot Soccer Case Study
Okan Aşık, Binnur Görer, H. Levent Akın
2018
The Virtuous Machine - Old Ethics for New Technology?
Nicolas Berberich, Klaus Diepold
2018
Modular meta-learning
Ferran Alet, Tomás Lozano-Pérez, Leslie P. Kaelbling
2018
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards
Rituraj Kaushik, Konstantinos Chatzilygeroudis, Jean-Baptiste Mouret
2018
Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning
Xinlei Pan, Eshed Ohn-Bar, Nicholas Rhinehart +3 more
2018
Learning Neural Parsers with Deterministic Differentiable Imitation Learning
Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling +1 more
2018
HybridNet: Integrating Model-based and Data-driven Learning to Predict Evolution of Dynamical Systems
Yun Long, Xueyuan She, Saibal Mukhopadhyay
2018
Learning from Outside the Viability Kernel: Why we Should Build Robots that can Fall with Grace
Steve Heim, Alexander Spröwitz
2018
BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning
Boris Ivanovic, James Harrison, Apoorva Sharma +2 more
2018
Automatic formation of the structure of abstract machines in hierarchical reinforcement learning with state clustering
Aleksandr I. Panov, Aleksey Skrynnik
2018
Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with Applications
Carson Eisenach, Haichuan Yang, Ji Liu +1 more
2018