Othello
PulseAugur coverage of Othello — every cluster mentioning Othello across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
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AI struggles with cryptic crosswords despite existential threats
Despite AI's potential to control the internet, it struggles with complex tasks like solving cryptic crosswords, according to a collection of letters to The Guardian. One letter notes that while AI might be powerful eno…
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Approximate Value Iteration proves surprisingly effective in AI game-playing
A new research paper explores the effectiveness of Approximate Value Iteration (AVI) in self-play for game-playing programs. Contrary to expectations, AVI demonstrated surprising effectiveness, learning more accurate va…
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New LUGL framework enables gradient-boosted trees for RL game-playing
Researchers have developed a new framework called LUGL (Local Updates, Global Learning) that allows non-incremental learners, such as gradient-boosted trees (GBTs), to be effectively used in reinforcement learning (RL) …
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New LUGL framework enables gradient-boosted trees for reinforcement learning games
Researchers have developed a new framework called LUGL (Local Updates, Global Learning) that allows non-incremental learners, such as gradient-boosted trees (GBTs), to be effective in reinforcement learning (RL) setting…
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New GARIP method enhances self-play convergence in zero-sum games
Researchers have introduced GARIP, a novel method for improving self-play in two-player zero-sum games. Unlike previous approaches that use fixed or periodically updated references, GARIP utilizes a running average of p…
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AlphaZero Othello training struggles prompt hyperparameter analysis
A user is training an AlphaZero model for Othello on a 6x6 board and encountering issues with performance. Despite models improving against each other, they are not significantly better than benchmark agents, with a win…