A game AI that learns entirely from raw game history via self-play reinforcement learning, with truly zero domain knowledge — no policy priors, no hand-crafted features, what you see is what you get, ...
This repository contains the code for the paper "Benchmarking Knowledge-Extraction Attacks and Defenses on Retrieval-Augmented Generation" — accepted at the KDD 2026 Benchmark and Dataset track. It ...
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