Analyses of Tabular AlphaZero on Strongly-Solved Stochastic Games by Chu-Hsuan Hsueh, Kokolo Ikeda, I-Chen Wu, Jr-Chang Chen, Tsan-Sheng Hsu

Subjects: “…AlphaZero…”
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AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong by Jannis Blüml, Jannis Blüml, Johannes Czech, Kristian Kersting, Kristian Kersting, Kristian Kersting

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Inteligencia Artificial y Juegos de Tablero: Desde el Turco hasta AlphaZero by Ivan Francisco Valencia, Rosa María Valdovinos Rosas, J. Raymundo Marcial Romero, Roberto Alejo Eleuterio

Subjects: “…AlphaZero…”
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基于AlphaZero的地铁列车大量速度曲线自动生成算法 by 芦玉琦, 陈德旺, 赵钊林

“…在以往的地铁列车自动驾驶研究中，驾驶数据通常通过仿真生成单条运行曲线、对人工驾驶数据进行采样得到，不但实现方式比较复杂，而且效率较低、通用性不强。受AlphaZero系统启发，创新性地提出了人工生成虚拟地铁运行数据的思想。首先，根据一种五段式地铁列车速度曲线的运行方法，实现了虚拟数据的计算；然后，结合人类专家的经验设置牵引制动的区间分级、实际运行速度的分级、车站间距及变速距离分级等实际参数，缩小曲线数据范围，使其合理化；最后，通过Python编程得到大量数据，保存为数据集，绘制地铁列车运行时间频次分布图。…”
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Optimal mean corpuscular haemoglobin (MCH) cut-off value for differentiating alpha plus and alpha zero thalassaemia in thalassaemia screening by Idris, Faridah, Chiu, Yee Liew, Seman, Zainina, Mahmud, Noraesah

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Characterization of New Alpha Zero (α⁰) Thalassaemia Deletion (−−^GB) among Malays in Malaysian Population by Norafiza Mohd Yasin, Faidatul Syazlin Abdul Hamid, Syahzuwan Hassan, Yuslina Mat Yusoff, Ermi Neiza Mohd Sahid, Ezalia Esa

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AlphaDDA: strategies for adjusting the playing strength of a fully trained AlphaZero system to a suitable human training partner by Kazuhisa Fujita

Subjects: “…AlphaZero…”
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Chess AI: Competing Paradigms for Machine Intelligence by Shiva Maharaj, Nick Polson, Alex Turk

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Interactive Robot for Playing Russian Checkers by Ekaterina E. Kopets, Artur I. Karimov, Georgii Y. Kolev, Lorenzo Scalera, Denis N. Butusov

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On the Value of Chess Squares by Aditya Gupta, Shiva Maharaj, Nicholas Polson, Vadim Sokolov

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Efficiently Mastering the Game of NoGo with Deep Reinforcement Learning Supported by Domain Knowledge by Yifan Gao, Lezhou Wu

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Improved Online Sequential Extreme Learning Machine: A New Intelligent Evaluation Method for AZ-Style Algorithms by Xiali Li, Shuai He, Zhi Wei, Licheng Wu

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Newton’s method for reinforcement learning and model predictive control by Dimitri Bertsekas

Subjects: “…AlphaZero…”
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El factor estético en la automatización de tareas lógicas: el caso del ajedrez by Santiago Rementeria-Sanz

“…Recientemente, sin embargo, el programa AlphaZero, desarrollado siguiendo una filosofía diferente, ha sorprendido no solo por su superioridad, sino también por lo imprevisto y atractivo de algunas de sus decisiones de juego. …”
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Human Abductive Cognition Vindicated: Computational Locked Strategies, Dissipative Brains, and Eco-Cognitive Openness by Lorenzo Magnani

“…I maintain that these differences lead to important consequences when we analyze computational deep learning programs, such as AlphaGo/AlphaZero, which are able to realize various types of abductive hypothetical reasoning. …”
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Reinforcement Learning for Sequential Decision and Optimal Control / by Li, Shengbo Eben author 655222

“…Have you ever wondered how AlphaZero learns to defeat the top human Go players? …”

Prolonged Pyrexia: Kikuchi-Fujimoto Disease in a Patient With Hb H-Constant Spring Thalassemia by Ganesh Kasinathan

“…The DNA analysis of alpha-globin gene showed heterozygosity for alpha zero thalassemia South East Asian deletion with termination codon mutation (TAA-CAA) which was consistent with Hb H-Constant Spring thalassemia. …”
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α-Rank: Multi-Agent Evaluation by Evolution by Shayegan Omidshafiei, Christos Papadimitriou, Georgios Piliouras, Karl Tuyls, Mark Rowland, Jean-Baptiste Lespiau, Wojciech M. Czarnecki, Marc Lanctot, Julien Perolat, Remi Munos

“…We illustrate the method in canonical games and empirically validate it in several domains, including AlphaGo, AlphaZero, MuJoCo Soccer, and Poker.…”
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Intelligent Action Planning for Well Construction Operations Demonstrated for Hole Cleaning Optimization and Automation by Gurtej Singh Saini, Parham Pournazari, Pradeepkumar Ashok, Eric van Oort

“…The concept of self-play used by game AI engines (such as AlphaGo and AlphaZero in Google’s DeepMind group) is adapted here for well construction tasks, wherein a drilling agent learns and improves from scenario simulations performed using digital twins. …”
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