AI Algorithm Path
May 23, 2025 · Artificial Intelligence
Understanding Temporal‑Difference Algorithms in Reinforcement Learning
This tutorial explains temporal‑difference (TD) learning, compares it with dynamic programming and Monte‑Carlo methods, walks through concrete soccer‑match examples, shows one‑step TD versus constant‑α Monte‑Carlo updates, discusses convergence, bias, and introduces popular TD variants such as Sarsa, Q‑learning, Expected Sarsa and double learning.
Monte CarloTD learningmaximization bias
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