epsilon-greedy-exploration-strategy

IN premise — entries/2026/06/21/wiki-Reinforcement_learning-chunk-1.md

Created 2026-06-21T09:55:52+00:00

The ε-greedy strategy selects the best-known action with probability (1 − ε) and a random action with probability ε to balance exploration and exploitation