“‘AI Chess’ Tag”,2019-09-09 (chess psychology, model-based RL)⁠:

Bibliography for tag reinforcement-learning/chess, most recent first: 3 related tags, 54 annotations, & 39 links (parent).

• See Also
• Links
  • “Estimating Cheating Rates in Titled Tuesday”, Rozovsky2024
  • “AI Search: The Bitter-Er Lesson”, McLaughlin2024
  • “Emergent World Models and Latent Variable Estimation in Chess-Playing Language Models”, Karvonen2024
  • “Grandmaster-Level Chess Without Search”, Ruoss et al 2024
  • “The Value of Chess Squares”, Gupta et al 2023
  • “Evaluating Superhuman Models With Consistency Checks”, Fluri et al 2023
  • “ChessGPT: Bridging Policy Learning and Language Modeling”, Feng et al 2023
  • “Statistical Analysis of Chess Games: Space Control and Tipping Points”, Barthelemy2023
  • “Indoor Air Quality and Strategic Decision Making”, Künn et al 2023
  • “AI, Ageing and Brain-Work Productivity: Technological Change in Professional Japanese Chess”, Yamamura & Hayashi2022
  • “Modeling Strong and Human-Like Gameplay With KL-Regularized Search”, Jacob et al 2021
  • “Acquisition of Chess Knowledge in AlphaZero”, McGrath et al 2021
  • “Vector Quantized Models for Planning”, Ozair et al 2021
  • “Stockfish and Lc0, Test at Different Number of Nodes”, Meloni2021
  • “Learning Chess Blindfolded: Evaluating Language Models on State Tracking”, Toshniwal et al 2021
  • “NNUE: The Neural Network of the Stockfish Chess Engine”, Goucher2021
  • “Monte-Carlo Graph Search for AlphaZero”, Czech et al 2020
  • “Assessing Game Balance With AlphaZero: Exploring Alternative Rule Sets in Chess”, Tomašev et al 2020
  • “Learning Personalized Models of Human Behavior in Chess”, McIlroy-Young et al 2020
  • “Measuring Hardware Overhang”, hippke 2020
  • “The Chess Transformer: Mastering Play Using Generative Language Models”, Noever et al 2020
  • “Aligning Superhuman AI With Human Behavior: Chess As a Model System”, McIlroy-Young et al 2020
  • “Smerdon Beats Komodo 5-1 With Knight Odds”, Doggers2020
  • “Transformers Play Chess”, Cheng2020
  • “A Very Unlikely Chess Game”, Alexander2020
  • “Life Cycle Patterns of Cognitive Performance over the Long Run”, Strittmatter et al 2020
  • “MuZero: Mastering Atari, Go, Chess and Shogi by Planning With a Learned Model”, Schrittwieser et al 2019
  • “A General Reinforcement Learning Algorithm That Masters Chess, Shogi, and Go through Self-Play”, Silver et al 2018
  • “Learning to Play Chess With Minimal Lookahead and Deep Value Neural Networks”, Sabatelli2017 (page 3)
  • “Assessing Human Error Against a Benchmark of Perfection”, Anderson et al 2016
  • “Giraffe: Using Deep Reinforcement Learning to Play Chess”, Lai2015
  • “Algorithmic Progress in Six Domains”, Grace2013
  • “When Will Computer Hardware Match the Human Brain?”, Moravec1998
  • “Big Blue’s Hand Of God”, Levy1997
  • “Human Window on the World”, Michie1985
  • “Time for AI to Cross the Human Performance Range in Chess”
  • “Something Weird Is Happening With LLMs and Chess”, Dynomight2024
  • “Komodo 8: the Smartphone vs Desktop Challenge”
  • “Leela Chess Zero: AlphaZero for the PC”
  • “ChessPositionRanking/img/2389704906374985477664262349386869232706664089.png at Main · Tromp/ChessPositionRanking”
  • “Google DeepMind’s Grandmaster-Level Chess Without Search”
  • “Update on Playing With Piece Odds against Lc0”
  • “What Are Humans Still Good For? The Turning Point in Freestyle Chess May Be Approaching”
  • “Turing-Complete Chess Computation”
  • “Fine-Tuning Is Not Sufficient for Capability Elicitation”
  • “A Closer Look at Chess Scalings (into the Past)”
  • “Evidence of Learned Look-Ahead in a Chess-Playing Neural Network”
  • “Benchmarking an Old Chess Engine on New Hardware”
  • “[The Addictiveness & Adversarialness of Playing against LeelaQueenOdds]”, Järviniemi2024
  • “[The Addictiveness & Adversarialness of Playing against LeelaQueenOdds]”, Järviniemi2024
  • “Sydney Can Play Chess and Kind of Keep Track of the Board State”
  • “The Chess Master and the Computer”, Kasparov2024
  • “A Computer Program to Detect Possible Cheating in Chess”
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