Temporal Difference (TD) learning
Concept
A reinforcement learning method about making predictions over time, using observed reward and value estimates from future states to update the current state's value estimate.
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Videos Mentioning Temporal Difference (TD) learning
Michael Littman: Reinforcement Learning and the Future of AI | Lex Fridman Podcast #144
Lex Fridman
A reinforcement learning method about making predictions over time, using observed reward and value estimates from future states to update the current state's value estimate.
Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 19: Model-Based RL
Stanford Online
A model-free reinforcement learning method that combines sampling from Monte Carlo with bootstrapping from dynamic programming, updating value estimates based on one-step predictions.