Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes

11 May 2018

Papers citing "Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes"

23 / 23 papers shown

Title
Multi-Level Discovery of Deep Options Roy Fox S. Krishnan Ion Stoica Ken Goldberg 55 125 0 24 Mar 2017
Micro-Objective Learning : Accelerating Deep Reinforcement Learning through the Discovery of Continuous Subgoals Sungtae Lee Sang-Woo Lee Jinyoung Choi Donghyun Kwak Byoung-Tak Zhang 49 2 0 11 Mar 2017
FeUdal Networks for Hierarchical Reinforcement Learning A. Vezhnevets Simon Osindero Tom Schaul N. Heess Max Jaderberg David Silver Koray Kavukcuoglu FedML 84 905 0 03 Mar 2017
Playing FPS Games with Deep Reinforcement Learning Guillaume Lample Devendra Singh Chaplot OffRL EgoV 86 585 0 18 Sep 2016
The Option-Critic Architecture Pierre-Luc Bacon J. Harb Doina Precup OffRL 64 1,087 0 16 Sep 2016
Deep Reinforcement Learning With Macro-Actions Ishan Durugkar Clemens Rosenbaum S. Dernbach Sridhar Mahadevan 39 23 0 15 Jun 2016
Unifying Count-Based Exploration and Intrinsic Motivation Marc G. Bellemare S. Srinivasan Georg Ostrovski Tom Schaul D. Saxton Rémi Munos 169 1,478 0 06 Jun 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 214 5,076 0 05 Jun 2016
Classifying Options for Deep Reinforcement Learning Kai Arulkumaran Nat Dilokthanakul Murray Shanahan Anil Anthony Bharath 42 20 0 27 Apr 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D. Kulkarni Karthik Narasimhan A. Saeedi J. Tenenbaum 68 1,135 0 20 Apr 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 269 11,152 0 14 Mar 2016
Continuous Deep Q-Learning with Model-based Acceleration S. Gu Timothy Lillicrap Ilya Sutskever Sergey Levine 89 1,013 0 02 Mar 2016
MazeBase: A Sandbox for Learning from Games Sainbayar Sukhbaatar Arthur Szlam Gabriel Synnaeve Soumith Chintala Rob Fergus 59 80 0 23 Nov 2015
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 91 3,755 0 20 Nov 2015
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 217 3,788 0 18 Nov 2015
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning S. Mohamed Danilo Jimenez Rezende DRL SSL 97 402 0 29 Sep 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 167 7,639 0 22 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 320 13,237 0 09 Sep 2015
Deep Recurrent Q-Learning for Partially Observable MDPs Matthew J. Hausknecht Peter Stone 108 1,678 0 23 Jul 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,767 0 19 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 125 12,227 0 19 Dec 2013
Evolutionary Algorithms for Reinforcement Learning J. Grefenstette David E. Moriarty A. Schultz OffRL 63 409 0 01 Jun 2011