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Tagged with total-variational-distance reinforcement-learning
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When should one prefer using Total Variational Divergence over KL divergence in RL
In RL, both the KL divergence (DKL) and Total variational divergence (DTV) are used to measure the distance between two policies. I'm most familiar with using DKL as an early stopping metric during ...
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CS 285 Prof Sergey Levine Lecture, Bounding Derivation for Reinforcement Learning (TRPO)
How can we derive the final result? I can understand the first line, but don't know how the absolute term in the summation is replaced with $2\epsilon t$.
https://www.youtube.com/watch?v=LtAt5M_a0dI&...
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