Posts tagged "reinforcement-learning"
3 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
Mathematical Prerequisites for Reinforcement Learning
Building the math foundations you need for RL — probability, expected value, derivatives, the log trick, and Monte Carlo estimation — all through one consistent example.
reinforcement-learningmathematicsmachine-learning