When Self-Play Q-Learning Looks Robust but Remains Exploitable
This story is from 2026-09-07. It is preserved in the archive; the latest stories are on the live feed.
A self-play Q-learning agent looked competent in sampled matches: it drew against the original heuristic, won most games against random play, and produced plausible moves. Exact best-response evaluation told a different story. All six frozen baseline policy/seat cases could be forced to lose. Tic-T…
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- 2026-09-07 14:06 · DEV Community — Machine Learning
When Self-Play Q-Learning Looks Robust but Remains Exploitable