Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕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
MANGA: Method Agnostic Neural-policy Generalization and Adaptation
Homanga Bharadhwaj, Shoichiro Yamaguchi, Shin-ichi Maeda
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
Robo-PlaNet: Learning to Poke in a Day
Maxime Chevalier-Boisvert, Guillaume Alain, Florian Golemo +1 more
2019
Learning One-Shot Imitation from Humans without Humans
Alessandro Bonardi, Stephen James, Andrew J. Davison
2019
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
Erik Wijmans, Abhishek Kadian, Ari Morcos +5 more
2019
Situated GAIL: Multitask imitation using task-conditioned adversarial inverse reinforcement learning
Kyoichiro Kobayashi, Takato Horii, Ryo Iwaki +2 more
2019
Multi Modal Semantic Segmentation using Synthetic Data
Kartik Srivastava, Akash Kumar Singh, Guruprasad M. Hegde
2019
Automatic Testing With Reusable Adversarial Agents
Xin Qin, Nikos Aréchiga, Andrew Best +1 more
2019
Feedback Linearization for Unknown Systems via Reinforcement Learning
Tyler Westenbroek, David Fridovich-Keil, Eric Mazumdar +4 more
2019
Certified Adversarial Robustness for Deep Reinforcement Learning
Björn Lütjens, Michael Everett, Jonathan P. How
2019