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 ✕Robo-PlaNet: Learning to Poke in a Day
Maxime Chevalier-Boisvert, Guillaume Alain, Florian Golemo +1 more
2019
Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning
Nicolas Lair, Cédric Colas, Rémy Portelas +3 more
2019
Gym-Ignition: Reproducible Robotic Simulations for Reinforcement Learning
Diego Ferigo, Silvio Traversaro, Giorgio Metta +1 more
2019
Learning One-Shot Imitation from Humans without Humans
Alessandro Bonardi, Stephen James, Andrew J. Davison
2019
Positive-Unlabeled Reward Learning
Danfei Xu, Misha Denil
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
Multivariate Uncertainty in Deep Learning
Rebecca L. Russell, Christopher Reale
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
Addressing the Sim2Real Gap in Robotic 3D Object Classification
Jean-Baptiste Weibel, Timothy Patten, Markus Vincze
2019
MAMPS: Safe Multi-Agent Reinforcement Learning via Model Predictive Shielding
Wenbo Zhang, Osbert Bastani, Vijay Kumar
2019
Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning
Michael Everett, Yu Fan Chen, Jonathan P. How
2019
Learning Q-network for Active Information Acquisition
Heejin Jeong, Brent Schlotfeldt, Hamed Hassani +3 more
2019
Contextual Imagined Goals for Self-Supervised Robotic Learning
Ashvin Nair, Shikhar Bahl, Alexander Khazatsky +3 more
2019
Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control
Jonathan Chang, Nishanth Kumar, Sean Hastings +6 more
2019
Learning Resilient Behaviors for Navigation Under Uncertainty
Tingxiang Fan, Pinxin Long, Wenxi Liu +3 more
2019
Combining Benefits from Trajectory Optimization and Deep Reinforcement Learning
Guillaume Bellegarda, Katie Byl
2019
Opinion aspect extraction in Dutch childrens diary entries
Hella Haanstra, Maaike H. T. de Boer
2019
MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences
Xingyu Liu, Mengyuan Yan, Jeannette Bohg
2019
Autonomous Industrial Management via Reinforcement Learning: Self-Learning Agents for Decision-Making -- A Review
Leonardo A. Espinosa Leal, Magnus Westerlund, Anthony Chapman
2019
Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning
Juil Sock, Guillermo Garcia-Hernando, Tae-Kyun Kim
2019