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Faynt: Scaling and Optimizing Policies for Competitive Melee

Janati, Ali et al.
arXiv (All) · Papers
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machine-learning
We introduce Faynt, a family of 10M- and 75M-parameter Transformer policies for Super Smash Bros. Melee, each controlling all 26 characters with a single checkpoint. After reinforcement learning (RL), the 10M wins 240 of 244 same-character games (98.4%) against fourteen specialist and multi-characte
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