A multimodal VLM-TO-IRL framework with GAIL learns professional-specific reward functions from telemetry and tactical commentary to rank esports players by stylistic alignment.
Multi-objective multi-instance learning: A new approach to machine learning for eSports
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Scouting By Reward: VLM-TO-IRL-Driven Player Selection For Esports
A multimodal VLM-TO-IRL framework with GAIL learns professional-specific reward functions from telemetry and tactical commentary to rank esports players by stylistic alignment.