Deep Q-Network

Technique

First seen 6/18/2026

Last seen 6/18/2026

Evidence 5 chunks

NEIGHBORHOOD

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StimulusRL ← implements 100% 2e

StimulusRL implements a Deep Q-Network policy for stimulus generation.

Deep Q-Network is a specific deep reinforcement learning algorithm used in StimulusRL.

experience replay uses → 95% 2e

DQN uses experience replay with a replay buffer for off-policy learning.

DQN selects actions using epsilon-greedy exploration during training.