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David Silver is a principal research scientist at DeepMind and a professor at University College London. David’s work focuses on artificially intelligent agents based on reinforcement learning.
David Silver FRS (born 1976) is a principal research scientist at Google DeepMind and a professor at University College London. He has led research on reinforcement learning with AlphaGo, AlphaZero and co-lead on AlphaStar.
Articles 1–20. DeepMind, UCL - Cited by 196,747 - Artificial Intelligence - Machine Learning - Reinforcement Learning - Planning - Computer Games.
Lecture 1: Introduction to Reinforcement Learning. Lecture 2: Markov Decision Processes. Lecture 3: Planning by Dynamic Programming. Lecture 4: Model-Free Prediction. Lecture 5: Model-Free Control. Lecture 6: Value Function Approximation. Lecture 7: Policy Gradient Methods. Lecture 8: Integrating Learning and Planning.
David Silver. Principal Scientist, DeepMind. David Silver leads the reinforcement learning research group at DeepMind. David graduated from Cambridge University in 1997 with the Addison-Wesley award.
ACM named David Silver the recipient of the 2019 ACM Prize in Computing for breakthrough advances in computer game-playing. Silver is a Professor at University College London and a Principal Research Scientist at DeepMind, a Google-owned artificial intelligence company based in the United Kingdom.
May 11, 2022 · Watch the lectures from DeepMind research lead David Silver's course on reinforcement learning, taught at University College London. Access slides, assignmen...
Oct 19, 2017 · David Silver and colleagues have now produced a system called AlphaGo Zero, which is based purely on reinforcement learning and learns solely from self-play.
Mar 23, 2016 · In an email interview with Economictimes.com, David Silver, research scientist at Google’s DeepMind, explains the significance of the AlphaGo’s victory in the Go game and the efforts involved in building it. David Silver has published several papers on AI and he is the main programmer of AlphaGo.
Self-driving cars have five key components: computer vision, sensor fusion, localization, path planning, and control. Here's how they come together to create a world-changing technology.
