A0C: Alpha Zero in Continuous Action Space

24 May 2018

Papers citing "A0C: Alpha Zero in Continuous Action Space"

8 / 8 papers shown

Title
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey Aske Plaat W. Kosters Mike Preuss BDL OffRL 44 17 0 11 Aug 2020
Monte Carlo Tree Search for Asymmetric Trees Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker 16 8 0 23 May 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 172 8,236 0 04 Jan 2018
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm David Silver Thomas Hubert Julian Schrittwieser Ioannis Antonoglou Matthew Lai ... D. Kumaran T. Graepel Timothy Lillicrap Karen Simonyan Demis Hassabis 83 1,755 0 05 Dec 2017
Efficient exploration with Double Uncertain Value Networks Thomas M. Moerland Joost Broekens Catholijn M. Jonker 31 42 0 29 Nov 2017
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 162 5,048 0 05 Jun 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 276 18,300 0 27 May 2016
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 235 43,511 0 17 Sep 2014