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Reset-Free Guided Policy Search: Efficient Deep Reinforcement Learning
  with Stochastic Initial States

Reset-Free Guided Policy Search: Efficient Deep Reinforcement Learning with Stochastic Initial States

4 October 2016
William H. Montgomery
Anurag Ajay
Chelsea Finn
Pieter Abbeel
Sergey Levine
    OnRL
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Papers citing "Reset-Free Guided Policy Search: Efficient Deep Reinforcement Learning with Stochastic Initial States"

10 / 10 papers shown
Title
ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations
ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations
Jiahui Zhang
Yusen Luo
Abrar Anwar
Sumedh Anand Sontakke
Joseph J Lim
Jesse Thomason
Erdem Biyik
Jesse Zhang
OffRL
LM&Ro
24
0
0
16 May 2025
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
Julian Ibarz
Jie Tan
Chelsea Finn
Mrinal Kalakrishnan
P. Pastor
Sergey Levine
OffRL
16
520
0
04 Feb 2021
SOLAR: Deep Structured Representations for Model-Based Reinforcement
  Learning
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning
Marvin Zhang
Sharad Vikram
Laura M. Smith
Pieter Abbeel
Matthew J. Johnson
Sergey Levine
OffRL
23
41
0
28 Aug 2018
A survey on policy search algorithms for learning robot controllers in a
  handful of trials
A survey on policy search algorithms for learning robot controllers in a handful of trials
Konstantinos Chatzilygeroudis
Vassilis Vassiliades
F. Stulp
Sylvain Calinon
Jean-Baptiste Mouret
17
155
0
06 Jul 2018
Dual Policy Iteration
Dual Policy Iteration
Wen Sun
Geoffrey J. Gordon
Byron Boots
J. Andrew Bagnell
OffRL
18
56
0
28 May 2018
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
162
275
0
07 Jul 2017
Combining Model-Based and Model-Free Updates for Trajectory-Centric
  Reinforcement Learning
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning
Yevgen Chebotar
Karol Hausman
Marvin Zhang
Gaurav Sukhatme
S. Schaal
Sergey Levine
37
159
0
08 Mar 2017
Generalizing Skills with Semi-Supervised Reinforcement Learning
Generalizing Skills with Semi-Supervised Reinforcement Learning
Chelsea Finn
Tianhe Yu
Justin Fu
Pieter Abbeel
Sergey Levine
OffRL
SSL
35
68
0
01 Dec 2016
Towards Lifelong Self-Supervision: A Deep Learning Direction for
  Robotics
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics
J. M. Wong
27
11
0
01 Nov 2016
Reset-free Trial-and-Error Learning for Robot Damage Recovery
Reset-free Trial-and-Error Learning for Robot Damage Recovery
Konstantinos Chatzilygeroudis
Vassilis Vassiliades
Jean-Baptiste Mouret
13
102
0
13 Oct 2016
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