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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
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284
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Uncertainty-Aware Self-Supervised Target-Mass Grasping of Granular Foods
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Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across Wide Task Spaces
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Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
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255
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Efficient Self-Supervised Data Collection for Offline Robot Learning
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150
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Visual Foresight Trees for Object Retrieval from Clutter with Nonprehensile Rearrangement
IEEE Robotics and Automation Letters (RA-L), 2021
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255
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Robotic Surgery With Lean Reinforcement Learning
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146
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InsertionNet -- A Scalable Solution for Insertion
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203
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Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention
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Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
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Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos
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Benchmarks for Deep Off-Policy Evaluation
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Visionary: Vision architecture discovery for robot learning
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177
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Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes
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CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL
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157
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256
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144
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