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1806.10293
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QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
Conference on Robot Learning (CoRL), 2018
27 June 2018
Dmitry Kalashnikov
A. Irpan
P. Pastor
Julian Ibarz
Alexander Herzog
Eric Jang
Deirdre Quillen
E. Holly
Mrinal Kalakrishnan
Vincent Vanhoucke
Sergey Levine
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Papers citing
"QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation"
50 / 941 papers shown
HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators
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Fei Xia
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Fabio Ferreira
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Jianlan Luo
Eugen Solowjow
J. A. Ojea
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192
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Contextual Imagined Goals for Self-Supervised Robotic Learning
Conference on Robot Learning (CoRL), 2019
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Shikhar Bahl
Alexander Khazatsky
Vitchyr H. Pong
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Sergey Levine
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197
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0
23 Oct 2019
Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation
IEEE International Conference on Robotics and Automation (ICRA), 2019
Rae Jeong
Y. Aytar
D. Khosid
Yuxiang Zhou
Jackie Kay
Thomas Lampe
Konstantinos Bousmalis
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145
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OffWorld Gym: open-access physical robotics environment for real-world reinforcement learning benchmark and research
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235
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18 Oct 2019
Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control
IEEE International Conference on Robotics and Automation (ICRA), 2019
Lukás Hermann
Max Argus
Andreas Eitel
Artemij Amiranashvili
Wolfram Burgard
Thomas Brox
182
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Solving Rubik's Cube with a Robot Hand
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Ilge Akkaya
Marcin Andrychowicz
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Peter Welinder
Lilian Weng
Qiming Yuan
Wojciech Zaremba
Lei Zhang
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458
1,372
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16 Oct 2019
Visual Hide and Seek
IEEE Symposium on Artificial Life (ALIFE), 2019
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Shuran Song
Hod Lipson
Carl Vondrick
169
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Uncertainty Quantification and Exploration for Reinforcement Learning
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Jing Dong
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394
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Jost Tobias Springenberg
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Agrim Gupta
Michael Neunert
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Noah Y. Siegel
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177
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Gabriel Barth-Maron
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Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping
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262
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CAQL: Continuous Action Q-Learning
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Moonkyung Ryu
Yinlam Chow
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Craig Boutilier
525
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26 Sep 2019
RLBench: The Robot Learning Benchmark & Learning Environment
IEEE Robotics and Automation Letters (RA-L), 2019
Stephen James
Z. Ma
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Andrew J. Davison
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293
753
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26 Sep 2019
Scaling data-driven robotics with reward sketching and batch reinforcement learning
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Sergio Gomez Colmenarejo
Alexander Novikov
Ksenia Konyushkova
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David Barker
Jonathan Scholz
Misha Denil
Nando de Freitas
Ziyun Wang
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266
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ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
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Michael Ahn
Henry Zhu
Kristian Hartikainen
Hugo Ponte
Abhishek Gupta
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223
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Synthetic Data for Deep Learning
Sergey I. Nikolenko
337
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Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller
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Jonathan J. Cruz
Colby R. Banbury
William Fu
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Guido de Croon
Vijay Janapa Reddi
311
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25 Sep 2019
Invariant Transform Experience Replay: Data Augmentation for Deep Reinforcement Learning
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Jiancong Huang
Matthieu Zimmer
Yisheng Guan
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356
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24 Sep 2019
Reconnaissance and Planning algorithm for constrained MDP
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Hayato Watahiki
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Masanori Koyama
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20 Sep 2019
kPAM-SC: Generalizable Manipulation Planning using KeyPoint Affordance and Shape Completion
IEEE International Conference on Robotics and Automation (ICRA), 2019
Wei Gao
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139
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16 Sep 2019
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation
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Suraj Nair
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VGen
181
143
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12 Sep 2019
Recognizing Object Affordances to Support Scene Reasoning for Manipulation Tasks
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Ruinian Xu
Chao Tang
Patricio A. Vela
125
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12 Sep 2019
A Deep Learning Approach to Grasping the Invisible
IEEE Robotics and Automation Letters (RA-L), 2019
Yang Yang
Hengyue Liang
Changhyun Choi
160
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11 Sep 2019
MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning
Conference on Robot Learning (CoRL), 2019
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191
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AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers
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Andrey Kurenkov
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168
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Towards Precise Robotic Grasping by Probabilistic Post-grasp Displacement Estimation
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Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning
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Hal Daumé
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Dynamics-aware Embeddings
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287
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DoorGym: A Scalable Door Opening Environment And Baseline Agent
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Casey Carlin
Randall Leu
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Pieter Abbeel
OffRL
297
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Robot Learning of Shifting Objects for Grasping in Cluttered Environments
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019
Lars Berscheid
Pascal Meissner
Torsten Kröger
115
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25 Jul 2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges
IEEE Communications Surveys and Tutorials (COMST), 2019
Lei Lei
Yue Tan
Kan Zheng
Shiwen Liu
K. Zheng
Xuemin Shen
Shen
OffRL
289
238
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22 Jul 2019
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling
International Conference on Learning Representations (ICLR), 2019
Yuping Luo
Huazhe Xu
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SSL
222
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12 Jul 2019
An Optimistic Perspective on Offline Reinforcement Learning
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Dale Schuurmans
Mohammad Norouzi
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437
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Data Efficient Reinforcement Learning for Legged Robots
Conference on Robot Learning (CoRL), 2019
Yuxiang Yang
Ken Caluwaerts
Atil Iscen
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Jie Tan
Vikas Sindhwani
282
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A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
Journal of machine learning research (JMLR), 2019
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380
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Dynamics-Aware Unsupervised Discovery of Skills
International Conference on Learning Representations (ICLR), 2019
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349
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Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
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Vincenzo Lomonaco
Andrei Stoian
Davide Maltoni
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Chelsea Finn
Karol Hausman
122
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Reward Prediction Error as an Exploration Objective in Deep RL
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Ben Eisner
Daniel Yang
Anthony Bisulco
E. Mitchell
Sebastian Seung
Daniel D. Lee
213
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19 Jun 2019
Robust Reinforcement Learning for Continuous Control with Model Misspecification
International Conference on Learning Representations (ICLR), 2019
D. Mankowitz
Nir Levine
Rae Jeong
Yuanyuan Shi
Jackie Kay
A. Abdolmaleki
Jost Tobias Springenberg
Timothy A. Mann
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226
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Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2019
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Ashvin Nair
Jianlan Luo
Shikhar Bahl
J. A. Ojea
Eugen Solowjow
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159
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Zhenyu Pan
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Quanquan Shao
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Off-Policy Evaluation via Off-Policy Classification
Neural Information Processing Systems (NeurIPS), 2019
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364
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Air Learning: A Deep Reinforcement Learning Gym for Autonomous Aerial Robot Visual Navigation
Machine-mediated learning (ML), 2019
Srivatsan Krishnan
Behzad Boroujerdian
William Fu
Aleksandra Faust
Vijay Janapa Reddi
304
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6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
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Clemens Eppner
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441
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Evolving Rewards to Automate Reinforcement Learning
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200
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