Marc G. Bellemare
- Artificial Intelligence top 0.05%
- Electrical and Electronic Engineering top 0.5%
- Computer Networks and Communications top 0.2%
- Control and Systems Engineering top 0.1%
- Computer Vision and Pattern Recognition top 0.2%
- Co-authors
- Georg OstrovskiJoel VenessCharles BeattieDharshan KumaranMartin RiedmillerIoannis AntonoglouStig PetersenDemis Hassabis
- Topics
- Reinforcement Learning in Robotics (24 papers)Evolutionary Algorithms and Applications (10 papers)Artificial Intelligence in Games (8 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Marc G. Bellemare
33 papers receiving 18.8k citations
Hit Papers
Peers
Comparison fields: 5 of 202
- Artificial Intelligence 8.6k
- Electrical and Electronic Engineering 4.1k
- Computer Networks and Communications 3.7k
- Control and Systems Engineering 3.6k
- Computer Vision and Pattern Recognition 3.1k
Countries citing papers authored by Marc G. Bellemare
This map shows the geographic impact of Marc G. Bellemare'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 Marc G. Bellemare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc G. Bellemare more than expected).
Fields of papers citing papers by Marc G. Bellemare
This network shows the impact of papers produced by Marc G. Bellemare. 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 Marc G. Bellemare. The network helps show where Marc G. Bellemare may publish in the future.
Co-authorship network of co-authors of Marc G. Bellemare
This figure shows the co-authorship network connecting the top 25 collaborators of Marc G. Bellemare. A scholar is included among the top collaborators of Marc G. Bellemare based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marc G. Bellemare. Marc G. Bellemare is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 0 | |
| 3 | Metrics and continuity in reinforcement learning | 3 |
| 4 | 3 | |
| 5 | 164 | |
| 6 | Temporally Extended Metrics for Markov Decision Processes. | 1 |
| 7 | A Geometric Perspective on Optimal Representations for Reinforcement Learning | 8 |
| 8 | 100 | |
| 9 | 13 | |
| 10 | An Analysis of Categorical Distributional Reinforcement Learning | 4 |
| 11 | An Introduction to Deep Reinforcement Learningbreakdown → | 811 |
| 12 | Count-based exploration with neural density models | 43 |
| 13 | Unifying count-based exploration and intrinsic motivationbreakdown → | 280 |
| 14 | Human-level control through deep reinforcement learningbreakdown → | 17153 |
| 15 | Count-based frequency estimation with bounded memory | 0 |
| 16 | Skip Context Tree Switching | 10 |
| 17 | Bayesian Learning of Recursively Factored Environments | 10 |
| 18 | Sketch-Based Linear Value Function Approximation | 11 |
| 19 | Context-driven predictions | 1 |
| 20 | 38 |
About Marc G. Bellemare
Marc G. Bellemare is a scholar working on Artificial Intelligence, Structural Biology and Management Science and Operations Research, having authored 36 papers that have together received 19.6k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (24 papers), Evolutionary Algorithms and Applications (10 papers) and Artificial Intelligence in Games (8 papers). The work is most often cited by research in Artificial Intelligence (8.6k citations), Automotive Engineering (2.0k citations) and Computer Networks and Communications (3.7k citations). Marc G. Bellemare has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Georg Ostrovski, Joel Veness, Charles Beattie, Dharshan Kumaran, Martin Riedmiller, Ioannis Antonoglou, Stig Petersen, Demis Hassabis, Alex Graves and David Silver. Their work appears in journals such as Nature, Artificial Intelligence and Drug and Alcohol Dependence.
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.