This blog post explores why the exponential function appears ubiquitously across modern RL, energy-based modeling, and statistical mechanics. We examine the connection between max-entropy reinforcement learning and the Boltzmann distribution, uncovering the fundamental principles that make the exponential form inevitable and explaining what "temperature" actually does in these frameworks.
If you are not redirected automatically, you can read the full post here: Why the Exponential? From Max‑Entropy RL to the Boltzmann Distribution.