Reinforcement Learning: Temporal Difference - Session 6

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Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
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Temporal difference: combining Monte Carlo (MC) and Dynamic Programming (DP)
Advantages of TD
No environment model required (vs DP)
Continual updates (vs MC)
Example: reinforcers



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