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 ✕Veni Vidi Dixi: Reliable Wireless Communication with Depth Images
Serkut Ayvaşık, H. Murat Gürsu, Wolfgang Kellerer
2019
ATIS + SpiNNaker: a Fully Event-based Visual Tracking Demonstration
Arren Glover, Alan B. Stokes, Steve Furber +1 more
2019
Latent Replay for Real-Time Continual Learning
Lorenzo Pellegrini, Gabriele Graffieti, Vincenzo Lomonaco +1 more
2019
Adversary A3C for Robust Reinforcement Learning
Zhaoyuan Gu, Zhenzhong Jia, Howie Choset
2019
Quantized deep learning models on low-power edge devices for robotic systems
Anugraha Sinha, Naveen Kumar, Murukesh Mohanan +4 more
2019
Following Social Groups: Socially Compliant Autonomous Navigation in Dense Crowds
Xinjie Yao, Ji Zhang, Jean Oh
2019
Imitation Learning of Robot Policies by Combining Language, Vision and Demonstration
Simon Stepputtis, Joseph Campbell, Mariano Phielipp +2 more
2019
Efficient Saliency Maps for Explainable AI
T. Nathan Mundhenk, Barry Y. Chen, Gerald Friedland
2019
ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems
Bharathan Balaji, Jordan Bell-Masterson, Enes Bilgin +7 more
2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Kaiqing Zhang, Zhuoran Yang, Tamer Başar
2019
Combined Model for Partially-Observable and Non-Observable Task Switching: Solving Hierarchical Reinforcement Learning Problems Statically and Dynamically with Transfer Learning
Nibraas Khan, Joshua Phillips
2019
Meta Adaptation using Importance Weighted Demonstrations
Kiran Lekkala, Sami Abu-El-Haija, Laurent Itti
2019
Accelerating Reinforcement Learning with Suboptimal Guidance
Eivind Bøhn, Signe Moe, Tor Arne Johansen
2019
Bayesian Curiosity for Efficient Exploration in Reinforcement Learning
Tom Blau, Lionel Ott, Fabio Ramos
2019
Evaluating task-agnostic exploration for fixed-batch learning of arbitrary future tasks
Vibhavari Dasagi, Robert Lee, Jake Bruce +1 more
2019
MANGA: Method Agnostic Neural-policy Generalization and Adaptation
Homanga Bharadhwaj, Shoichiro Yamaguchi, Shin-ichi Maeda
2019
Eliminating artefacts in Polarimetric Images using Deep Learning
Dhruv Paranjpye, Ashish Mahabal, A. N. Ramaprakash +5 more
2019
Gamma-Nets: Generalizing Value Estimation over Timescale
Craig Sherstan, Shibhansh Dohare, James MacGlashan +2 more
2019
Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient
Kevin Sebastian Luck, Mel Vecerik, Simon Stepputtis +2 more
2019
Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning
Kevin Sebastian Luck, Heni Ben Amor, Roberto Calandra
2019
ASV: Accelerated Stereo Vision System
Yu Feng, Paul Whatmough, Yuhao Zhu
2019
Selection-based Question Answering of an MOOC
Atul Sahay, Smita Gholkar, Kavi Arya
2019
CAGFuzz: Coverage-Guided Adversarial Generative Fuzzing Testing of Deep Learning Systems
Pengcheng Zhang, Qiyin Dai, Patrizio Pelliccione
2019
Motion Reasoning for Goal-Based Imitation Learning
De-An Huang, Yu-Wei Chao, Chris Paxton +5 more
2019