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How to Train Your Robot with Deep Reinforcement Learning; Lessons We've
  Learned

How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned

4 February 2021
Julian Ibarz
Jie Tan
Chelsea Finn
Mrinal Kalakrishnan
P. Pastor
Sergey Levine
    OffRL
ArXivPDFHTML

Papers citing "How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned"

11 / 211 papers shown
Title
Imitation Learning via Simultaneous Optimization of Policies and
  Auxiliary Trajectories
Imitation Learning via Simultaneous Optimization of Policies and Auxiliary Trajectories
Mandy Xie
Anqi Li
Karl Van Wyk
F. Dellaert
Byron Boots
Nathan D. Ratliff
19
4
0
07 May 2021
Set-Valued Rigid Body Dynamics for Simultaneous, Inelastic, Frictional
  Impacts
Set-Valued Rigid Body Dynamics for Simultaneous, Inelastic, Frictional Impacts
Mathew Halm
Michael Posa
AI4CE
36
5
0
29 Mar 2021
Learning Collision-free and Torque-limited Robot Trajectories based on
  Alternative Safe Behaviors
Learning Collision-free and Torque-limited Robot Trajectories based on Alternative Safe Behaviors
Jonas C. Kiemel
Torsten Kröger
47
8
0
05 Mar 2021
Reinforcement Learning Control of a Forestry Crane Manipulator
Reinforcement Learning Control of a Forestry Crane Manipulator
Jennifer Andersson
K. Bodin
Daniel M. Lindmark
Martin Servin
Erik Wallin
25
21
0
03 Mar 2021
Reactive Long Horizon Task Execution via Visual Skill and Precondition
  Models
Reactive Long Horizon Task Execution via Visual Skill and Precondition Models
Shohin Mukherjee
Chris Paxton
Arsalan Mousavian
Adam Fishman
Maxim Likhachev
Dieter Fox
37
13
0
17 Nov 2020
Learning Robot Trajectories subject to Kinematic Joint Constraints
Learning Robot Trajectories subject to Kinematic Joint Constraints
Jonas C. Kiemel
Torsten Kröger
50
7
0
01 Nov 2020
Deep Dynamics Models for Learning Dexterous Manipulation
Deep Dynamics Models for Learning Dexterous Manipulation
Anusha Nagabandi
K. Konolige
Sergey Levine
Vikash Kumar
172
410
0
25 Sep 2019
Emergence of Locomotion Behaviours in Rich Environments
Emergence of Locomotion Behaviours in Rich Environments
N. Heess
TB Dhruva
S. Sriram
Jay Lemmon
J. Merel
...
Tom Erez
Ziyun Wang
S. M. Ali Eslami
Martin Riedmiller
David Silver
158
928
0
07 Jul 2017
Transferring End-to-End Visuomotor Control from Simulation to Real World
  for a Multi-Stage Task
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task
Stephen James
Andrew J. Davison
Edward Johns
169
275
0
07 Jul 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
673
11,762
0
09 Mar 2017
CAD2RL: Real Single-Image Flight without a Single Real Image
CAD2RL: Real Single-Image Flight without a Single Real Image
Fereshteh Sadeghi
Sergey Levine
SSL
256
813
0
13 Nov 2016
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