A curated list of resources on recursive self-improvement in AI: systems that improve their own performance loops through feedback, experience, self-evaluation, tool use, code evolution, automated ...
This project implements an AI-powered Flappy Bird agent using Deep Q-Network (DQN), a value-based Reinforcement Learning algorithm. The agent learns to play Flappy Bird by interacting with the game ...
Why doesn't temperature 0 yield the same answer? The lack of 'Batch Invariance' exposed by Thinking Machines and Avi Chawla, ...
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