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8th Semester
AD-802 (B)
Unit 3 Notes

AD-802 (B) Reinforcement Learning Unit 3 Notes

Notes and important questions for unit 3: Q‑Learning, Function Approximation and Deep Q‑Networks.

Unit 3 · Short notes Q‑Learning, Function Approximation and Deep Q‑Networks Q‑learning algorithm and its relation to temporal‑difference methods · Eligibility traces in Q‑learning · Function approximation for value functions: linear, non‑linear, and least‑squares methods · Incremental vs. batch update methods · Deep Q‑Learning analysis and stability considerations · Deep Q‑Network (DQN) architecture

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