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Darkforest
Residual Networks for Computer Go
Arxiv:1701.07274V3 [Cs.LG] 15 Jul 2017
ELF: an Extensive, Lightweight and Flexible Research Platform for Real-Time Strategy Games
Improved Policy Networks for Computer Go
Fml-Based Dynamic Assessment Agent for Human-Machine Cooperative System on Game of Go
Residual Networks for Computer Go Tristan Cazenave
Move Prediction in Gomoku Using Deep Learning
ELF Opengo: an Analysis and Open Reimplementation of Alphazero
AI-FML Agent for Robotic Game of Go and Aiot Real-World Co-Learning Applications
Combining Tactical Search and Deep Learning in the Game of Go
Deep Learning for Go
Gogogo: Improving Deep Neural Network Based Go Playing AI with Residual Networks Xingyu Liu Introduction Network Architecture Experiment Result
Improved Policy Networks for Computer Go Tristan Cazenave
Monte-Carlo Game Tree Search: Advanced Techniques
Improved Architectures for Computer Go
Deep Reinforcement Learning: an Overview
Arxiv:1511.06410V3 [Cs.LG] 29 Feb 2016 Game Is to Control More Territory Than the Opponent (Fig
Deep Reinforcement Learning and Its Applications in Games
Top View
FML-Based Prediction Agent and Its Application to Game of Go
Visualizing and Understanding Policy Networks of Computer Go
The 4Th Industrial Revolution AI, Iot, Big Data and Disruptive Innovations Contents
1Facebook AI Research 2Rutgers University HP://Yuandong-An.Com Arxiv Link: HP://Arxiv.Org/Abs/1511.06410
Top-Ranked Go Player Challenges Facebook USA's Darkforest in Vancouver on July 25 Chun-Hsun Chou Is a Professional, Top-Ranked
Improving Deep Neural Network Based Go Playing AI with Residual Networks