Agent57
Agent57 is a model-free distributed reinforcement learning algorithm developed by Google DeepMind and reported in 2020.
AI in Gaming
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Agora-1
Agora-1 is a multi-agent world model released by the AI lab Odyssey on 18 May 2026.
AlphaGo Zero
AlphaGo Zero is a Go-playing computer program developed by DeepMind that reached a superhuman level entirely through self-play reinforcement learning, starting from random play with no human game data.
AlphaStar
AlphaStar is an artificial intelligence system built by Google DeepMind that in 2019 became the first AI to reach Grandmaster level in the real-time strategy game StarCraft II
AlphaZero
AlphaZero is a general-purpose reinforcement learning algorithm developed by DeepMind that taught itself to play chess, shogi (Japanese chess), and Go at a superhuman level from scratch, using only the rules…
Monte Carlo Tree Search
Monte Carlo Tree Search (MCTS) is a heuristic search algorithm for sequential decision-making that finds strong actions by running many simulated playthroughs of a problem and aggregating their outcomes into a…
OpenAI Five
OpenAI Five was a reinforcement learning system developed by OpenAI to play the competitive multiplayer video game Dota 2 at a professional level.
Pluribus (poker AI)
Pluribus is an artificial intelligence program that defeated elite human professionals at six-player no-limit Texas hold'em, the most popular form of poker played by people.