Marlos C. Machado

1.0k total citations
21 papers, 291 citations indexed

About

Marlos C. Machado is a scholar working on Artificial Intelligence, Management Science and Operations Research and Sociology and Political Science. According to data from OpenAlex, Marlos C. Machado has authored 21 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 6 papers in Management Science and Operations Research and 4 papers in Sociology and Political Science. Recurrent topics in Marlos C. Machado's work include Reinforcement Learning in Robotics (11 papers), Artificial Intelligence in Games (9 papers) and Advanced Bandit Algorithms Research (6 papers). Marlos C. Machado is often cited by papers focused on Reinforcement Learning in Robotics (11 papers), Artificial Intelligence in Games (9 papers) and Advanced Bandit Algorithms Research (6 papers). Marlos C. Machado collaborates with scholars based in Canada, United States and Brazil. Marlos C. Machado's co-authors include Marc G. Bellemare, Pablo Samuel Castro, Subhodeep Moitra, Ziyu Wang, Salvatore Candido, Jun Gong, Sameera Ponda, Luiz Chaimowicz, Michael Bowling and Yitao Liang and has published in prestigious journals such as Nature, Artificial Intelligence and Machine Learning.

In The Last Decade

Marlos C. Machado

20 papers receiving 277 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marlos C. Machado Canada	7	154	66	41	38	36	21	291
Michael Quinlan United States	9	102 0.7×	25 0.4×	69 1.7×	9 0.2×	63 1.8×	25	274
Shiyao Wang China	6	130 0.8×	24 0.4×	75 1.8×	6 0.2×	8 0.2×	27	247
Zhenwei Li China	9	48 0.3×	50 0.8×	70 1.7×	12 0.3×	12 0.3×	43	305
Stefano Silvestrini Italy	8	51 0.3×	181 2.7×	34 0.8×	8 0.2×	39 1.1×	35	274
L. Molnár United Kingdom	7	46 0.3×	24 0.4×	37 0.9×	30 0.8×	40 1.1×	15	188
Yingxiang Li China	10	104 0.7×	34 0.5×	48 1.2×	25 0.7×	24 0.7×	27	360
Shengli Song China	9	64 0.4×	154 2.3×	77 1.9×	46 1.2×	19 0.5×	25	335
Heng Siong Lim Malaysia	11	75 0.5×	62 0.9×	54 1.3×	10 0.3×	16 0.4×	89	454
Junhan Kim South Korea	9	79 0.5×	37 0.6×	65 1.6×	26 0.7×	11 0.3×	18	340
Jung-Hyun Kim South Korea	9	33 0.2×	14 0.2×	44 1.1×	40 1.1×	14 0.4×	55	239

Countries citing papers authored by Marlos C. Machado

Since Specialization

Citations

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

Fields of papers citing papers by Marlos C. Machado

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marlos C. Machado. 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 Marlos C. Machado. The network helps show where Marlos C. Machado may publish in the future.

Co-authorship network of co-authors of Marlos C. Machado

This figure shows the co-authorship network connecting the top 25 collaborators of Marlos C. Machado. A scholar is included among the top collaborators of Marlos C. Machado 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 Marlos C. Machado. Marlos C. Machado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

White, Martha, et al.. (2024). Investigating the properties of neural network representations in reinforcement learning. Artificial Intelligence. 330. 104100–104100. 6 indexed citations

White, Martha, et al.. (2023). GVFs in the real world: making predictions online for water treatment. Machine Learning. 113(8). 5151–5181. 2 indexed citations

Sutton, Richard S., et al.. (2023). Reward-respecting subtasks for model-based reinforcement learning. Artificial Intelligence. 324. 104001–104001. 2 indexed citations

Machado, Marlos C., et al.. (2021). Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization. International Conference on Machine Learning. 1999–2009. 1 indexed citations

Fedus, William, et al.. (2021). On Bonus-Based Exploration Methods in the Arcade Learning Environment. arXiv (Cornell University). 3 indexed citations

Machado, Marlos C., et al.. (2020). Exploration in Reinforcement Learning with Deep Covering Options. International Conference on Learning Representations. 11 indexed citations

Bellemare, Marc G., Salvatore Candido, Pablo Samuel Castro, et al.. (2020). Autonomous navigation of stratospheric balloons using reinforcement learning. Nature. 588(7836). 77–82. 164 indexed citations

Machado, Marlos C.. (2019). Efficient Exploration in Reinforcement Learning through Time-Based Representations. 1 indexed citations

Machado, Marlos C., Marc G. Bellemare, Erik Talvitie, et al.. (2018). Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract). 5573–5577. 1 indexed citations

10.

Machado, Marlos C., et al.. (2017). Eigenoption Discovery through the Deep Successor Representation. arXiv (Cornell University). 2 indexed citations

11.

Machado, Marlos C., Marc G. Bellemare, & Michael Bowling. (2017). A Laplacian Framework for Option Discovery in Reinforcement Learning. arXiv (Cornell University). 2295–2304. 27 indexed citations

12.

Liang, Yitao, Marlos C. Machado, Erik Talvitie, & Michael Bowling. (2016). State of the Art Control of Atari Games Using Shallow Reinforcement Learning. Adaptive Agents and Multi-Agents Systems. 485–493. 23 indexed citations

13.

Machado, Marlos C., et al.. (2016). Semantic Mapping on Underwater Environment Using Sonar Data. 2. 245–250. 7 indexed citations

14.

Cunha, Renato L. F., Marlos C. Machado, & Luiz Chaimowicz. (2014). RTSMate. Computers in entertainment. 12(1). 1–20. 1 indexed citations

15.

Machado, Marlos C., Gisele L. Pappa, & Luiz Chaimowicz. (2012). Characterizing and Modeling Ag ents in Digital Games. 1 indexed citations

16.

Machado, Marlos C., et al.. (2011). Agents Behavior and Preferences Characterization in Civilization IV. 43–52. 3 indexed citations

17.

Machado, Marlos C., et al.. (2011). Player modeling: Towards a common taxonomy. 50–57. 24 indexed citations

18.

Machado, Marlos C. & Luiz Chaimowicz. (2011). Combining Metaheuristics and CSP Algorithms to Solve Sudoku. 124–131. 6 indexed citations

19.

Machado, Marlos C., et al.. (2011). Player Modeling: What is it? How to do it?. 1 indexed citations

20.

Machado, Marlos C., et al.. (2000). Occurrence of Listeria monocytogenes and other Listeria spp. in brains of cattle with suspected BSE.. 10(3). 30–33.

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.

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