ModelothervZero

AlphaGo

by Google DeepMind · unknown · Last verified 2026-03-17

AlphaGo is a landmark AI from DeepMind that mastered the game of Go. It combines deep neural networks with Monte Carlo Tree Search and reinforcement learning, famously defeating world champion Lee Sedol in 2016. Its success demonstrated AI's ability to tackle complex problems requiring strategic planning.

https://deepmind.google/research/breakthroughs/alphago/ ↗

B—Above Average

Adoption: C+Quality: A+Freshness: FCitations: A+Engagement: F

Specifications

License: Proprietary
Pricing: unknown
Capabilities: Game Playing (Go), Reinforcement Learning, Monte Carlo Tree Search (MCTS), Deep Neural Networks (Policy and Value Networks), Self-Play Training, Strategic Planning, Supervised Learning from Human Games, Board State Evaluation
Integrations
Use Cases: [object Object], [object Object], [object Object], [object Object]
API Available: No
Parameters: Unknown
Context Window: N/A
Modalities: game-state
Training Cutoff: 2016
Tags: foundational, deepmind, reinforcement-learning, game-ai, historical, go, deep-learning, monte-carlo-tree-search, self-play, benchmark, superintelligence-milestone
Added: 2026-03-17
Completeness: 0.9%

Index Score

64.8

Adoption

Quality

Freshness

Citations

Engagement

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