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Information Theoretically Aided Reinforcement Learning for Embodied
  Agents

Information Theoretically Aided Reinforcement Learning for Embodied Agents

31 May 2016
Guido Montúfar
K. Zahedi
Nihat Ay
ArXivPDFHTML

Papers citing "Information Theoretically Aided Reinforcement Learning for Embodied Agents"

5 / 5 papers shown
Title
Variational Information Maximisation for Intrinsically Motivated
  Reinforcement Learning
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning
S. Mohamed
Danilo Jimenez Rezende
DRL
SSL
94
402
0
29 Sep 2015
Changing the Environment Based on Empowerment as Intrinsic Motivation
Changing the Environment Based on Empowerment as Intrinsic Motivation
Christoph Salge
C. Glackin
Daniel Polani
45
68
0
03 Jun 2014
Linear combination of one-step predictive information with an external
  reward in an episodic policy gradient setting: a critical analysis
Linear combination of one-step predictive information with an external reward in an episodic policy gradient setting: a critical analysis
K. Zahedi
Georg Martius
Nihat Ay
45
13
0
26 Sep 2013
Infinite-Horizon Policy-Gradient Estimation
Infinite-Horizon Policy-Gradient Estimation
Jonathan Baxter
Peter L. Bartlett
97
811
0
03 Jun 2011
Higher coordination with less control - A result of information
  maximization in the sensorimotor loop
Higher coordination with less control - A result of information maximization in the sensorimotor loop
K. Zahedi
Nihat Ay
R. Der
90
71
0
11 Oct 2009
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