Originally published at: Facebook’s AI Model Outmatches Competitors in Poker | NVIDIA Technical Blog
Facebook researchers developed a reinforcement learning model that can outmatch human competitors in heads-up, no-limit Texas hold’em, and turn endgame hold’em poker. At the heart of the model is how software-agents handle perfect-information games such as chess, versus imperfect-information games like poker. Instead of just deciding on its next move, a reinforcement learning software agent…