Definition
A model-free reinforcement learning method that combines Monte Carlo ideas with dynamic programming, updating value estimates based on the difference between successive predictions.
In short: A model-free reinforcement learning method that combines Monte Carlo ideas with dynamic programming, updating value estimates based on the difference between successive predictions.