Learning RL From Scratch: Double DQN Notes With a Live Browser Training Playground
East-Muffin-6472 · reddit · 2026-11-08
The author released the latest installment of their RL From Scratch series on neatrl.com: notes explaining the what, why, and how of Double DQN, paired with an interactive in-browser playground that trains agents live on FrozenLake with adjustable hyperparameters like lr, gamma, and buffer size.
- What: Double DQN is in the same off-policy, model-free, value-based family as DQN, differing only slightly in its optimization target
- Why: The classic DQN suffers overestimation bias because the max operator in the Target Q Network creates false positives in action selection
- How: The notes cover theory, concepts, code, math, and a live training playground
A solid starting point for building RL intuition.
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