Guy Lever

3.9k citations
19 papers · 2.3k · 3 hit papers · h-index 13

Impact in

Papers in

    • Reinforcement Learning in Robotics 13
    • Machine Learning and Algorithms 4
    • Stochastic Gradient Optimization Techniques 1
    • Artificial Intelligence in Games 1
    • Gaussian Processes and Bayesian Inference 1
    • Machine Learning and ELM 1
    • Advanced Bandit Algorithms Research 2

Guy Lever

19 papers receiving 2.2k citations

Guy Lever's Hit Papers

Learning agile soccer skills for a bipedal robot with deep reinforcement learning 2024 · 110 citations
1100+4+8Years since publication2505007501k

Peers

Guy Lever
Comparison fields: 5 of 87
  • Artificial Intelligence 1.5k
  • Computer Networks and Communications 175
  • Automotive Engineering 63
  • Control and Systems Engineering 154
  • Computer Vision and Pattern Recognition 133
Replace Daniel Whitehouse with:
Daniel Whitehouse United Kingdom
Bilal Piot France
Riashat Islam Canada
Martijn van Otterlo Netherlands
Levente Kocsis Hungary
Vincent François-Lavet Belgium
Aviv Tamar Israel
Hanning Chen China
Nicolas Heess United Kingdom
Long-Ji Lin United States
Guy Lever relative to Daniel Whitehouse United Kingdom Daniel Whitehouse's profile →
Citations per field
00.5×1.5×1.9×
Daniel Whitehouse · 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

19 of 19 papers shown
#Work
1
Deterministic Policy Gradient Algorithms
Hit paper breakdown →
20141025
2
Human-level performance in 3D multiplayer games with population-based reinforcement learning
Hit paper breakdown →
2019429
3 2018314
4
Learning agile soccer skills for a bipedal robot with deep reinforcement learning
Hit paper breakdown →
2024110
5 2017101
6 202265
7 201246
8
Modelling transition dynamics in MDPs with RKHS embeddings
201234
9 201223
10
Predicting the Labelling of a Graph via Minimum $p$-Seminorm Interpolation.
200922
11
Modelling Policies in MDPs in Reproducing Kernel Hilbert Space
201520
12 201018
13
Online Prediction on Large Diameter Graphs
200817
14 201912
15
Approximate Newton methods for policy search in Markov decision processes
201610
16 20169
17 20197
18
Conditional mean embeddings as regressors
20123
19 20222

About Guy Lever

Guy Lever is a scholar working on Artificial Intelligence, Management Science and Operations Research, Statistical and Nonlinear Physics, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 19 papers that have together received 2.3k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (13 papers), Machine Learning and Algorithms (4 papers), Advanced Bandit Algorithms Research (2 papers), Stochastic Gradient Optimization Techniques (1 paper), Artificial Intelligence in Games (1 paper), Gaussian Processes and Bayesian Inference (1 paper), Complex Network Analysis Techniques (1 paper) and Machine Learning and ELM (1 paper). The work is most often cited by research in Artificial Intelligence (1.5k citations), Computer Networks and Communications (175 citations), Automotive Engineering (63 citations), Control and Systems Engineering (154 citations) and Computer Vision and Pattern Recognition (133 citations). Guy Lever has collaborated with scholars based in United Kingdom, Canada and Germany. Frequent co-authors include David Silver, Nicolas Heess, Daan Wierstra, Thomas Degris, Martin Riedmiller, Thore Graepel, Joel Z. Leibo, Max Jaderberg, Wojciech Marian Czarnecki and Nicolas Sonnerat. Their work appears in journals such as Science Robotics, Journal of Machine Learning Research, Theoretical Computer Science, Science and Lecture notes in computer science.

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