FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the ...
where \(\mathsf{G}(\cdot)\) is some convex operator and \(\mathcal{F}\) is as set of feasible input distributions. Examples of such an optimization problem include finding capacity in information ...
Morning Overview on MSN
How DeepSeek’s new training method could disrupt advanced AI again
DeepSeek’s latest training research arrives at a moment when the cost of building frontier models is starting to choke off ...
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