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 ✕Scalable Global Optimization via Local Bayesian Optimization
David Eriksson, Michael Pearce, Jacob R Gardner +2 more
2019
Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics
Johannes Ackermann, Volker Gabler, Takayuki Osa +1 more
2019
Global visual localization in LiDAR-maps through shared 2D-3D embedding space
Daniele Cattaneo, Matteo Vaghi, Simone Fontana +2 more
2019
Real-Time Semantic Stereo Matching
Pier Luigi Dovesi, Matteo Poggi, Lorenzo Andraghetti +4 more
2019
IPC-Net: 3D point-cloud segmentation using deep inter-point convolutional layers
Felipe Gomez Marulanda, Pieter Libin, Timothy Verstraeten +1 more
2019
MGHRL: Meta Goal-generation for Hierarchical Reinforcement Learning
Haotian Fu, Hongyao Tang, Jianye Hao +2 more
2019
Composite Q-learning: Multi-scale Q-function Decomposition and Separable Optimization
Gabriel Kalweit, Maria Huegle, Joschka Boedecker
2019
Predicting Responses to a Robot's Future Motion using Generative Recurrent Neural Networks
Stuart Eiffert, Salah Sukkarieh
2019
Relational Graph Learning for Crowd Navigation
Changan Chen, Sha Hu, Payam Nikdel +2 more
2019
MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics
Mohammadamin Barekatain, Ryo Yonetani, Masashi Hamaya
2019
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning
Linxi Fan, Yuke Zhu, Jiren Zhu +6 more
2019
Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals
Anahita Mohseni-Kabir, David Isele, Kikuo Fujimura
2019
Relationship Explainable Multi-objective Reinforcement Learning with Semantic Explainability Generation
Huixin Zhan, Yongcan Cao
2019
"Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer
Andrew Hundt, Benjamin Killeen, Nicholas Greene +4 more
2019
Optimally Compressed Nonparametric Online Learning
Alec Koppel, Amrit Singh Bedi, Ketan Rajawat +1 more
2019
Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller
Bardienus P. Duisterhof, Srivatsan Krishnan, Jonathan J. Cruz +5 more
2019
Invariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning
Yijiong Lin, Jiancong Huang, Matthieu Zimmer +3 more
2019
Non-monotonic Logical Reasoning Guiding Deep Learning for Explainable Visual Question Answering
Heather Riley, Mohan Sridharan
2019
Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze
Yuying Chen, Congcong Liu, Ming Liu +1 more
2019
Learning Your Way Without Map or Compass: Panoramic Target Driven Visual Navigation
David Watkins-Valls, Jingxi Xu, Nicholas Waytowich +1 more
2019
Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control
Peixin Chang, Shuijing Liu, Haonan Chen +1 more
2019
Graph Neural Networks for Human-aware Social Navigation
Luis J. Manso, Ronit R. Jorvekar, Diego R. Faria +2 more
2019
Instance-dependent $\ell_\infty$-bounds for policy evaluation in tabular reinforcement learning
Ashwin Pananjady, Martin J. Wainwright
2019
CAMAL: Context-Aware Multi-layer Attention framework for Lightweight Environment Invariant Visual Place Recognition
Ahmad Khaliq, Shoaib Ehsan, Michael Milford +1 more
2019