David Silver
- Artificial Intelligence top 0.01%
- Reinforcement Learning in Robotics 50
- Artificial Intelligence in Games 26
- Evolutionary Algorithms and Applications 12
- Machine Learning and Algorithms 7
- Computer Vision and Pattern Recognition top 0.05%
- Robotic Path Planning Algorithms 13
- Automotive Engineering top 0.05%
- Control and Systems Engineering top 0.05%
- Computer Networks and Communications top 0.05%
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- Sports Analytics and Performance 15
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- Robotics and Sensor-Based Localization 13
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- Digital Games and Media 7
- Co-authors
- Demis HassabisIoannis AntonoglouArthur GuezDaan WierstraKoray KavukcuogluTimothy LillicrapJoel VenessDharshan Kumaran
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
David Silver
98 papers receiving 46.6k citations
Hit Papers
Peers
Comparison fields: 5 of 225
- Artificial Intelligence 22.8k
- Computer Vision and Pattern Recognition 7.8k
- Automotive Engineering 4.1k
- Control and Systems Engineering 7.8k
- Computer Networks and Communications 6.9k
Countries citing papers authored by David Silver
This map shows the geographic impact of David Silver's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Silver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Silver more than expected).
Fields of papers citing papers by David Silver
This network shows the impact of papers produced by David Silver. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Silver. The network helps show where David Silver may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Silver, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Learning and Planning in Complex Action Spaces | 2021 | 7 |
| 2 | Value-driven Hindsight Modelling | 2020 | 1 |
| 3 | A Self-Tuning Actor-Critic Algorithm | 2020 | 2 |
| 4 | Meta-Gradient Reinforcement Learning with an Objective Discovered Online | 2020 | 2 |
| 5 | Self-Tuning Deep Reinforcement Learning | 2020 | 3 |
| 6 | Discovering Reinforcement Learning Algorithms | 2020 | 1 |
| 7 | Human-level performance in 3D multiplayer games with population-based reinforcement learningbreakdown → | 2019 | 349 |
| 8 | A general reinforcement learning algorithm that masters chess, shogi, and Go through self-playbreakdown → | 2018 | 1827 |
| 9 | Distributed Prioritized Experience Replay | 2018 | 56 |
| 10 | Meta-gradient reinforcement learning | 2018 | 27 |
| 11 | Natural Value Approximators: Learning when to Trust Past Estimates | 2017 | 0 |
| 12 | The predictron: end-to-end learning and planning | 2017 | 25 |
| 13 | Imagination-Augmented Agents for Deep Reinforcement Learning | 2017 | 49 |
| 14 | Continuous control with deep reinforcement learningbreakdown → | 2016 | 4888 |
| 15 | Self-play Monte-Carlo tree search in computer poker | 2014 | 5 |
| 16 | Password managers: attacks and defenses | 2014 | 55 |
| 17 | Concurrent Reinforcement Learning from Customer Interactions | 2013 | 24 |
| 18 | 2011 | 16 | |
| 19 | Bootstrapping from Game Tree Search | 2009 | 25 |
| 20 | Cooperative Pathfindingbreakdown → | 2005 | 426 |
About David Silver
David Silver is a scholar working on Artificial Intelligence, Computational Mathematics and Computer Vision and Pattern Recognition, having authored 99 papers that have together received 48.4k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (50 papers), Artificial Intelligence in Games (26 papers), Sports Analytics and Performance (15 papers), Robotic Path Planning Algorithms (13 papers), Robotics and Sensor-Based Localization (13 papers), Evolutionary Algorithms and Applications (12 papers), Machine Learning and Algorithms (7 papers) and Digital Games and Media (7 papers). The work is most often cited by research in Artificial Intelligence (22.8k citations), Computer Vision and Pattern Recognition (7.8k citations) and Automotive Engineering (4.1k citations). David Silver has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Demis Hassabis, Ioannis Antonoglou, Arthur Guez, Daan Wierstra, Koray Kavukcuoglu, Timothy Lillicrap, Joel Veness, Dharshan Kumaran, Georg Ostrovski and Stig Petersen. Their work appears in journals such as Nature, Artificial Intelligence, Science, Communications of the ACM and Journal of Field Robotics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.