Classifying Options for Deep Reinforcement Learning

Classifying Options for Deep Reinforcement Learning

27 April 2016

Kai Arulkumaran

Nat Dilokthanakul

Murray Shanahan

Anil Anthony Bharath

Papers citing "Classifying Options for Deep Reinforcement Learning"

6 / 6 papers shown

Title
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D. Kulkarni Karthik Narasimhan A. Saeedi J. Tenenbaum 51 1,133 0 20 Apr 2016
Graying the black box: Understanding DQNs Tom Zahavy Nir Ben-Zrihem Shie Mannor 63 263 0 08 Feb 2016
Policy Distillation Andrei A. Rusu Sergio Gomez Colmenarejo Çağlar Gülçehre Guillaume Desjardins J. Kirkpatrick Razvan Pascanu Volodymyr Mnih Koray Kavukcuoglu R. Hadsell 53 687 0 19 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 131 7,590 0 22 Sep 2015
Recurrent Models of Visual Attention Volodymyr Mnih N. Heess Alex Graves Koray Kavukcuoglu VLM 110 3,645 0 24 Jun 2014
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 78 2,992 0 19 Jul 2012