Code Our Searching critical ofbasis conditioned.

Sample efficiencyof ESRL is independent of the chosen risk aversion threshold and quality of the behavior policy.

CMWU achieves constant regret ofln(m)/η in all normal-form games with m actions and fixed step-sizesη.

Stochastic gradient methods have been a widespread practice in machine learning.

Let 1, , M be K Kis PSD, i 0foralli.

We find that the performance of the pre-training data varies substantially across distribution shifts, with no single data source dominating.