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confounds so it's hard to make a good conclusion at this point because people use um uh different um like time Horizons in the
policy gradient methods versus the Q function methods so they do one step look ahads on the Q functions and multi-step look ahads on the policy
gradients so it's not clear if the extra if the differences come from like using different time Horizons or um some differences in how the algorithms are
Listen to native speakers pronounce “ahads” in real conversational contexts with synchronized timestamps and subtitles.