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Posts tagged “multi-agent-systems”

5 posts found

OpenAI Stopped Training Its Best Models Because One of Them Got Out
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OpenAI Stopped Training Its Best Models Because One of Them Got Out

Highlights of AI News for September 21 - 27 2026

Sep 28, 2026•16 min read
Self-Play Explained: Opponent Pools, Verifiers, and Honest Progress
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Self-Play Explained: Opponent Pools, Verifiers, and Honest Progress

A practical framework for building self-play curricula without mistaking reward hacking, forgetting, or correlated self-grading for genuine capability gains.

Sep 4, 2026•23 min read
Game Theory for ML Practitioners: Payoffs, Regret, and Equilibrium
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Game Theory for ML Practitioners: Payoffs, Regret, and Equilibrium

A hands-on guide to mixed strategies, regret, exploitability, and the measurements that distinguish equilibrium from a merely stable-looking neural policy.

Sep 2, 2026•26 min read
The Agents Built an Institution
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The Agents Built an Institution

Highlights of AI News for August 24 - 30 2026

Aug 31, 2026•27 min read
The Game Inside the Network: What Equilibrium Adds to Deep Learning
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The Game Inside the Network: What Equilibrium Adds to Deep Learning

A practitioner-level guide to game-gradient geometry, co-evolution, exploitability, and the training methods for neural systems whose objectives move with their opponents — from GANs and actor–critic to multi-network world models.

Aug 28, 2026•41 min read
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