Befuddling AI Go Systems: MIT, UC Berkeley & FAR AI’s Adversarial Policy Achieves a >99% Win Rate Against KataGo | Synced
In the new paper Adversarial Policies Beat Professional-Level Go AIs, a research team from MIT, UC Berkeley, and FAR AI employs a novel adversarial policy to attack the state-of-the-art AI Go syste...
Source: Synced | AI Technology & Industry Review
In the new paper Adversarial Policies Beat Professional-Level Go AIs, a research team from MIT, UC Berkeley, and FAR AI employs a novel adversarial policy to attack the state-of-the-art AI Go system KataGo. The team believes theirs is the first successful end-to-end attack against an AI Go system playing at the level of a human professional.
