Couverture de ΔBelief-RL: Rethinking How AI Learns to Act

ΔBelief-RL: Rethinking How AI Learns to Act

ΔBelief-RL: Rethinking How AI Learns to Act

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We explore a bold new framework that rethinks reinforcement learning from the ground up — replacing reward maximization with belief updating, and asking whether AI agents should learn the way scientists do.
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