Data Party THU
Data Party THU
Oct 21, 2025 · Artificial Intelligence

Why DQN Overestimates Q‑Values and How Double DQN Fixes It

The article explains how DQN’s use of the max operator introduces a maximization bias that leads to overestimated Q‑values, and shows how Double DQN separates action selection from value evaluation to eliminate this bias, improving stability and performance in Atari benchmarks.

DQNDouble DQNReinforcement learning
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Why DQN Overestimates Q‑Values and How Double DQN Fixes It