Data Party THU

Aug 30, 2025 · Artificial Intelligence

Understanding Multi‑Armed Bandits: Balancing Exploration and Exploitation in Reinforcement Learning

Multi‑armed bandit models illustrate the core exploration‑exploitation dilemma in reinforcement learning, covering greedy, ε‑greedy, and optimistic‑initial‑value strategies, as well as sample‑average and incremental Q‑value estimation methods with practical examples and visual illustrations.