Author

Ali Janati

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#machine learning Preprint Oct 2026

Faynt: Scaling and Optimizing Policies for Competitive Melee

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-character releases on their...

Ali Janati, N. Kuzmin, Rohit Swamy et al. · 0 citations

Preprint Aug 2026

Router Sensitivity Under Lightweight Fine-Tuning Identifies Prunable Experts in Mixture-of-Experts Models

Mixture-of-Experts (MoE) models decouple parameter count from per-token compute, but deployment still requires hosting every expert in memory. Recent theory shows that experts whose router weights change least during fine-tuning can be pruned with provable accuracy preservation, yet the guarantee assumes full fine-tuni...

Ali Janati, K. El Maghraoui, Cheng-Ke Zou et al. · 0 citations