Arthur Guez - Concepedia

Author

Arthur Guez

Google DeepMind (United Kingdom)

Also Known As

ARTHUR GUEZ, Arthur Guez, Guez, Arthur, Pillai, Thanumalayan Sankaranarayana

Publications

34.8K

Citations

H-Index

Concepts

All Affiliations

Google DeepMind (United Kingdom)Google (United States)University College London McGill University Montreal Neurological Institute and Hospital

About

Arthur Guez is an author at Google DeepMind (United Kingdom) specializing in artificial intelligence, engineering, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	18	21	34.3K
2	Arts	3	3	13.5K
3	Management	3	3	158
4	Business	1	1	87
5	Health Sciences	1	1	30

Arthur Guez

Publications

34.5K

Citations

H-Index

Page 1

	Year	Citations
Mastering the game of Go with deep neural networks and tree search David Silver, Aja Huang, Chris J. Maddison, Nature Artificial IntelligenceGame AiDeep Neural NetworksEngineeringMachine Learning	2016	15.5K
Mastering the game of Go without human knowledge David Silver, Julian Schrittwieser, Karen Simonyan, Nature Artificial IntelligenceGame AiCognitive ScienceEngineeringReward Hacking	2017	9K
Deep Reinforcement Learning with Double Q-Learning Hado van Hasselt, Arthur Guez, David Silver Proceedings of the AAAI Conference on Artificial Intelligence Artificial IntelligenceReward HackingEngineeringMachine LearningData Science	2016	3.5K
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play David Silver, Thomas Hubert, Julian Schrittwieser, Science Artificial IntelligenceAlphago Zero ProgramGame AiEngineeringGame Theory	2018	3.4K
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm David Silver, Thomas Hubert, Julian Schrittwieser, arXiv (Cornell University) Artificial IntelligenceGame AiReward HackingEngineeringJapanese Chess	2017	1.1K
Gemini: A Family of Highly Capable Multimodal Models Gemini Robotics Team, Rohan Anil, Sebastian Borgeaud, arXiv (Cornell University) Artificial IntelligenceNatural Language ProcessingNew FamilyLarge Ai ModelImage Analysis	2023	784
Imagination-Augmented Agents for Deep Reinforcement Learning Théophane Weber, Sébastien Racanière, David Reichert, arXiv (Cornell University) Artificial IntelligenceCognitive ScienceEngineeringMachine LearningData Science	2017	210
Imagination-Augmented Agents for Deep Reinforcement Learning Sébastien Racanière, Théophane Weber, David Reichert, arXiv (Cornell University) Artificial IntelligenceCognitive ScienceEngineeringMachine LearningData Science	2017	163
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search Arthur Guez, David Silver, Peter Dayan arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningGame TheoryBayesian Exploration	2012	98
The predictron: end-to-end learning and planning David Silver, Hado van Hasselt, Matteo Hessel, International Conference on Machine Learning Artificial IntelligenceCognitive ScienceEngineeringMachine LearningData Science	2017	96

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