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Aja Huang
Elements of DSAI: Game Tree Search, Learning Architectures
ELF: an Extensive, Lightweight and Flexible Research Platform for Real-Time Strategy Games
Improved Policy Networks for Computer Go
Unsupervised State Representation Learning in Atari
Understanding & Generalizing Alphago Zero
Combining Tactical Search and Deep Learning in the Game of Go
(CMPUT) 455 Search, Knowledge, and Simulations
Arxiv:1611.08903V1 [Cs.LG] 27 Nov 2016 20 Percent Increases in Cash Collections [20]
Software-Defined Software: a Perspective of Machine Learning-Based Software Production
Deep Learning for Go
Suggesting Moving Positions in Go-Game with Convolutional Neural Networks Trained Data
CSC 311: Introduction to Machine Learning Lecture 12 - Alphago and Game-Playing
Song Cornellgrad 0058F 12342.Pdf (2.229Mb)
Continuous Control with Deep Reinforcement Learning for Autonomous Vessels
About Go, the Ancient Game in Which AI Bested a Master 10 March 2016, by Youkyung Lee
Mastering the Game of Go Without Human Knowledge
Reinforcement Learning
Improved Policy Networks for Computer Go Tristan Cazenave
Top View
Mastering Basketball with Deep Reinforcement Learning
Machine Learning for Electronic Design Automation: a Survey
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Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
Us Vs. Them: Understanding Artificial Intelligence Technophobia Over the Google Deepmind Challenge Match
Bayesian Optimization in Alphago
Challenge Match Game 4: “Endurance”
Value Targets in Off-Policy Alphazero: a New Greedy Backup
Improved Architectures for Computer Go
Air Dominance Through Machine Learning: a Preliminary Exploration of Artificial Intelligence–Assisted Mission Planning
(Or, Why You Should Care About ML) Cory Janssen, Co-Founder, Altaml
Lessons Learned from Alphago
AI Chapter 7: Adversarial Search
Controllable Generation from Pre-Trained Language Models Via Inverse Prompting
Learning to Play
Deep Reinforcement Learning in Agent Based Financial Market Simulation
Machine Learning 101 (Or, Why You Should Care About ML) Cory Janssen, Co-Founder, Altaml
Deep Reinforcement Learning and Its Applications in Games
The 4Th Industrial Revolution AI, Iot, Big Data and Disruptive Innovations Contents
539: Towards Tractable Optimism in Model-Based Reinforcement Learning
Introduction
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm Arxiv:1712.01815V1 [Cs.AI] 5 Dec 2017
Search and Learning Algorithms for Two-Player Games with Application to the Game of Hex Chao
Accelerating Self-Play Learning in Go
Adversarial Policy Training Against Deep Reinforcement Learning
Three-Head Neural Network Architecture for Monte Carlo Tree Search
Applied Deep Learning in Intelligent Transportation Systems and Embedding Exploration
Information Retrieval: a View from the Chinese IR Community
Improving Deep Neural Network Based Go Playing AI with Residual Networks
Distributed Prioritized Experience Replay
Online Machine Translation