MIRA: Multi-Agent World Model Trained on Rocket League
ethanlipson · hn · 2026-07-09
MIRA: Multi-Agent Interactive World Model
Researchers have released the MIRA project, a multi-agent interactive world model trained on data from the game Rocket League.
- Core Objective: To explore and simulate complex, continuous multi-agent interactive environments.
- Technical Approach: By learning from game visuals and player actions, the model can predict and generate future scene dynamics under multi-agent interactions.
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