Guy Lever

3.9k citations
16 papers · 913 · 1 hit paper · h-index 10

Impact in

Papers in

Guy Lever

16 papers receiving 882 citations

Guy Lever's Hit Papers

Human-level performance in 3D multiplayer games with population-based reinforcement learning 2019 · 392 citations
3920+2+4Years since publication100200300

Peers

Guy Lever
Comparison fields: 5 of 83
  • Artificial Intelligence 653
  • Management Science and Operations Research 104
  • Computational Theory and Mathematics 116
  • Computer Networks and Communications 144
  • Computational Mathematics 3
Replace Sebastian Tschiatschek with:
Sebastian Tschiatschek Austria
Anirudh Goyal Canada
Yifei Wang China
Alessandro Lazaric Italy
Christopher De United States
Francesco Locatello Germany
Rémi Munos France
Dawei Zhou United States
Youssef Drissi Belgium
Nicolas Meuleau United States
Guy Lever relative to Sebastian Tschiatschek Austria Sebastian Tschiatschek's profile →
Citations per field
00.5×1.5×2.2×
Sebastian Tschiatschek · 1×
Citations per year

Countries citing papers authored by Guy Lever

Since Specialization
Citations

This map shows the geographic impact of Guy Lever'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 Guy Lever with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Lever more than expected).

Fields of papers citing papers by Guy Lever

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guy Lever. 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 Guy Lever. The network helps show where Guy Lever may publish in the future.

Co-authors

The 25 scholars most cited alongside Guy Lever, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guy Lever Line = papers co-authored together Guy Lever links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Human-level performance in 3D multiplayer games with population-based reinforcement learning
Hit paper breakdown →
2019392
2 2018265
3 201244
4
Conditional mean embeddings as regressors
201243
5
Modelling transition dynamics in MDPs with RKHS embeddings
201228
6
Predicting the Labelling of a Graph via Minimum $p$-Seminorm Interpolation.
200926
7 201022
8
Online Prediction on Large Diameter Graphs
200821
9
Modelling Policies in MDPs in Reproducing Kernel Hilbert Space
201519
10 201911
11
Approximate Newton methods for policy search in Markov decision processes
20169
12 20167
13 20197
14 20117
15 20196
16 20196

About Guy Lever

Guy Lever is a scholar working on Artificial Intelligence, Computer Networks and Communications, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Management Science and Operations Research, having authored 16 papers that have together received 913 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (6 papers), Machine Learning and Algorithms (6 papers), Evolutionary Algorithms and Applications (3 papers), Markov Chains and Monte Carlo Methods (2 papers), Complexity and Algorithms in Graphs (2 papers), Gaussian Processes and Bayesian Inference (2 papers), Model Reduction and Neural Networks (2 papers) and Advanced Bandit Algorithms Research (2 papers). The work is most often cited by research in Artificial Intelligence (653 citations), Management Science and Operations Research (104 citations), Computational Theory and Mathematics (116 citations), Computer Networks and Communications (144 citations) and Computational Mathematics (3 citations). Guy Lever has collaborated with scholars based in United Kingdom, Australia and Canada. Frequent co-authors include Thore Graepel, Joel Z. Leibo, Wojciech Marian Czarnecki, Max Jaderberg, Nicolas Sonnerat, John Shawe‐Taylor, Peter Sunehag, Audrūnas Gruslys, Vinícius Zambaldi and Marc Lanctot. Their work appears in journals such as Theoretical Computer Science, Journal of Machine Learning Research, Science, Lecture notes in computer science and International Conference on Artificial Intelligence and Statistics.

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.

Explore authors with similar magnitude of impact