Policy gradient demystified: REINFORCE is just reward-weighted maximum likelihood
le_james94 · x · 2026-10-09
lejames94's derivation: expand log pθ(τ) and differentiate — the initial-state and dynamics terms vanish, so the model falls out of the equation. That's REINFORCE: the policy gradient is the maximum likelihood gradient weighted by reward.
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