Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning

29 September 2015

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 125 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