Studying emergent communication among agents in cooperative and competitive environments using Reinforcement Learning, game theory and replicator dynamics
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Updated
Aug 6, 2021 - Jupyter Notebook
Studying emergent communication among agents in cooperative and competitive environments using Reinforcement Learning, game theory and replicator dynamics
Interactive signaling game on compute governance, U.S.-China AI competition, and Vietnam as a downstream observer.
Signaling game's Nash Equilibria implemented with python. Used in My paper: "Deception in Network Security: A Game-Theoretic Approach."
"Emergent language between two local 4B LLMs, tested one-shot on a held-out object under pre-registration, with independent auditors. Two campaigns (roles swapped), audited 99/99 + 100/100. Mirror experiment Kai measures how legible the invented codes are to an eavesdropper."
Code acompanying the paper Developmentally motivated emergence of compositional communication via template transfer
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