Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1509.08731
Cited By
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning
29 September 2015
S. Mohamed
Danilo Jimenez Rezende
DRL
SSL
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning"
7 / 157 papers shown
Title
Variational Information Maximization for Feature Selection
Shuyang Gao
Greg Ver Steeg
Aram Galstyan
73
49
0
09 Jun 2016
Deep Successor Reinforcement Learning
Tejas D. Kulkarni
A. Saeedi
Simanta Gautam
S. Gershman
80
209
0
08 Jun 2016
Unifying Count-Based Exploration and Intrinsic Motivation
Marc G. Bellemare
S. Srinivasan
Georg Ostrovski
Tom Schaul
D. Saxton
Rémi Munos
195
1,487
0
06 Jun 2016
Information Theoretically Aided Reinforcement Learning for Embodied Agents
Guido Montúfar
K. Zahedi
Nihat Ay
64
10
0
31 May 2016
VIME: Variational Information Maximizing Exploration
Rein Houthooft
Xi Chen
Yan Duan
John Schulman
F. Turck
Pieter Abbeel
117
78
0
31 May 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Tejas D. Kulkarni
Karthik Narasimhan
A. Saeedi
J. Tenenbaum
119
1,144
0
20 Apr 2016
Information-Theoretic Bounded Rationality
Pedro A. Ortega
Daniel A. Braun
Justin Dyer
Kee-Eung Kim
Naftali Tishby
76
51
0
21 Dec 2015
Previous
1
2
3
4