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Curious Meta-Controller: Adaptive Alternation between Model-Based and
  Model-Free Control in Deep Reinforcement Learning

Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning

5 May 2019
Muhammad Burhan Hafez
C. Weber
Matthias Kerzel
S. Wermter
ArXivPDFHTML

Papers citing "Curious Meta-Controller: Adaptive Alternation between Model-Based and Model-Free Control in Deep Reinforcement Learning"

16 / 16 papers shown
Title
Deep Intrinsically Motivated Continuous Actor-Critic for Efficient
  Robotic Visuomotor Skill Learning
Deep Intrinsically Motivated Continuous Actor-Critic for Efficient Robotic Visuomotor Skill Learning
Muhammad Burhan Hafez
C. Weber
Matthias Kerzel
S. Wermter
32
22
0
26 Oct 2018
Universal Planning Networks
Universal Planning Networks
A. Srinivas
Allan Jabri
Pieter Abbeel
Sergey Levine
Chelsea Finn
SSL
68
145
0
02 Apr 2018
Temporal Difference Models: Model-Free Deep RL for Model-Based Control
Temporal Difference Models: Model-Free Deep RL for Model-Based Control
Vitchyr H. Pong
S. Gu
Murtaza Dalal
Sergey Levine
OffRL
101
238
0
25 Feb 2018
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with
  Model-Free Fine-Tuning
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning
Anusha Nagabandi
G. Kahn
R. Fearing
Sergey Levine
89
973
0
08 Aug 2017
Imagination-Augmented Agents for Deep Reinforcement Learning
Imagination-Augmented Agents for Deep Reinforcement Learning
T. Weber
S. Racanière
David P. Reichert
Lars Buesing
A. Guez
...
Razvan Pascanu
Peter W. Battaglia
Demis Hassabis
David Silver
Daan Wierstra
LM&Ro
79
556
0
19 Jul 2017
Hindsight Experience Replay
Hindsight Experience Replay
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
239
2,322
0
05 Jul 2017
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRM
SSL
106
2,432
0
15 May 2017
Count-Based Exploration with Neural Density Models
Count-Based Exploration with Neural Density Models
Georg Ostrovski
Marc G. Bellemare
Aaron van den Oord
Rémi Munos
84
619
0
03 Mar 2017
Self-Correcting Models for Model-Based Reinforcement Learning
Self-Correcting Models for Model-Based Reinforcement Learning
Erik Talvitie
LRM
65
94
0
19 Dec 2016
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement
  Learning
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Haoran Tang
Rein Houthooft
Davis Foote
Adam Stooke
Xi Chen
Yan Duan
John Schulman
F. Turck
Pieter Abbeel
OffRL
89
767
0
15 Nov 2016
Continuous Deep Q-Learning with Model-based Acceleration
Continuous Deep Q-Learning with Model-based Acceleration
S. Gu
Timothy Lillicrap
Ilya Sutskever
Sergey Levine
83
1,010
0
02 Mar 2016
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
210
3,786
0
18 Nov 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
294
13,214
0
09 Sep 2015
Incentivizing Exploration In Reinforcement Learning With Deep Predictive
  Models
Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models
Bradly C. Stadie
Sergey Levine
Pieter Abbeel
86
504
0
03 Jul 2015
End-to-End Training of Deep Visuomotor Policies
End-to-End Training of Deep Visuomotor Policies
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
BDL
272
3,431
0
02 Apr 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.3K
149,842
0
22 Dec 2014
1