Can Jev be Your Q or Policy in Reinforcement Learning?
Foundation models supply reinforcement learning (RL) with priors that mitigate its longstanding weaknesses in sample efficiency and transfer, but their token-by-token generation makes queries sequential and costly. Jev, a recently released decision model, generates nothing and returns calibrated, typed answers in a sin...
Yi Ma, Tian-Pei Yang, Yao-Dong Yang et al.
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