David Silver
Principal Research Scientist, Google DeepMind | Professor, UCL | Lead of AlphaGo & AlphaZero
Verified Proof of Work Artifacts
2 items catalogedEach artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by David Silver. Every entry undergoes editorial source verification.
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm (AlphaZero)
Created AlphaZero, which mastered Go, chess, and shogi starting completely from scratch tabula rasa given only the game rules, crushing world-champion engines Stockfish and Elmo within 24 hours of self-play.
Assumes deterministic, fully observable game dynamics with explicit simulator rules.
Mastering the Game of Go with Deep Neural Networks and Tree Search (AlphaGo)
Led the AlphaGo project combining deep value networks and policy networks with Monte Carlo Tree Search (MCTS), solving the 2,500-year-old game of Go and defeating 18-time world champion Lee Sedol 4-1 in Seoul.
Initial AlphaGo version relied on 30 million human expert games for supervised pretraining prior to self-play.