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McGill University, Montreal, Canada, Mila – Quebec Artificial Intelligence Institute, Montreal, Canada
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Target variance in reinforcement learning can be drastically reduced by analytically propagating uncertainty without restrictive policy structures.
Forget fixed teams: this new reinforcement learning framework lets agents spawn new teammates on the fly, unlocking dynamic strategies previously impossible.
