Posts tagged "policy-gradient"
2 posts found
MaxRL: From REINFORCE to Maximum Likelihood
Why dividing by the number of successes instead of the batch size changes what your gradient estimator optimizes — and how this connects REINFORCE, maximum likelihood, and pass@k through one clean mathematical identity.
reinforcement-learningmachine-learningpolicy-gradient
Reinforcement Learning from Scratch
Building RL from the ground up — actions, rewards, policies, expected reward, the policy gradient theorem, and REINFORCE — all derived step by step with concrete examples.
reinforcement-learningmachine-learningpolicy-gradient