Extended best-of-N sampling with Tsallis statistics allows flexible empowerment in RL reasoning, balancing exploration-exploitation and improving locomotion task performance.
This paper does not prioritize model accuracy; rather, models that can rapidly compute the exact log-likelihood and the analytical solution for the distribution mean (or sampling)
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Flexible Empowerment at Reasoning with Extended Best-of-N Sampling
Extended best-of-N sampling with Tsallis statistics allows flexible empowerment in RL reasoning, balancing exploration-exploitation and improving locomotion task performance.