Marek Grześ

974 total citations
34 papers, 469 citations indexed

About

Marek Grześ is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Marek Grześ has authored 34 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 6 papers in Management Science and Operations Research. Recurrent topics in Marek Grześ's work include Reinforcement Learning in Robotics (17 papers), Machine Learning and Algorithms (7 papers) and Evolutionary Algorithms and Applications (6 papers). Marek Grześ is often cited by papers focused on Reinforcement Learning in Robotics (17 papers), Machine Learning and Algorithms (7 papers) and Evolutionary Algorithms and Applications (6 papers). Marek Grześ collaborates with scholars based in United Kingdom, Canada and United States. Marek Grześ's co-authors include Daniel Kudenko⋆, Marek Krętowski, Sam Devlin, Mark Roberts, Jesse Hoey, Mauro Vallati, T.L. McCluskey, Lukáš Chrpa, Scott Sanner and Marcin Czajkowski and has published in prestigious journals such as IEEE Transactions on Cybernetics, Neural Computation and Neural Networks.

In The Last Decade

Marek Grześ

33 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marek Grześ United Kingdom	12	324	72	62	58	49	34	469
Guojun Mao China	10	191 0.6×	69 1.0×	28 0.5×	21 0.4×	60 1.2×	42	407
Thomas Degris Canada	10	284 0.9×	46 0.6×	109 1.8×	136 2.3×	44 0.9×	14	539
Nicolas Monmarché France	9	244 0.8×	95 1.3×	50 0.8×	25 0.4×	93 1.9×	34	497
Vassilis Vassiliades Cyprus	9	231 0.7×	53 0.7×	84 1.4×	16 0.3×	46 0.9×	22	358
Francisco Bellas Spain	15	326 1.0×	54 0.8×	84 1.4×	24 0.4×	78 1.6×	86	665
Mohammad Shafiul Alam Bangladesh	12	197 0.6×	42 0.6×	26 0.4×	26 0.4×	30 0.6×	44	421
István Szita Hungary	8	416 1.3×	50 0.7×	64 1.0×	20 0.3×	51 1.0×	18	544
Luisa Zintgraf United Kingdom	9	153 0.5×	41 0.6×	23 0.4×	32 0.6×	54 1.1×	14	322
Ashraf M. Abdelbar Egypt	13	482 1.5×	115 1.6×	56 0.9×	9 0.2×	30 0.6×	67	602
Budhitama Subagdja Singapore	12	312 1.0×	33 0.5×	118 1.9×	62 1.1×	108 2.2×	41	552

Countries citing papers authored by Marek Grześ

Since Specialization

Citations

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

Fields of papers citing papers by Marek Grześ

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marek Grześ

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Grześ, Marek, et al.. (2024). Deconstructing Deep Active Inference: A Contrarian Information Gatherer. Neural Computation. 36(11). 2403–2445.

Bowman, Howard, et al.. (2022). Branching time active inference: Empirical study and complexity class analysis. Neural Networks. 152. 450–466. 6 indexed citations

Costa, Lancelot Da, et al.. (2022). Branching Time Active Inference: The theory and its generality. Neural Networks. 151. 295–316. 4 indexed citations

Grześ, Marek, et al.. (2020). SESAM at SemEval-2020 Task 8: Investigating the Relationship between Image and Text in Sentiment Analysis of Memes. 804–816. 12 indexed citations

Lemos, Rogério de & Marek Grześ. (2019). Self-Adaptive Artificial Intelligence. Kent Academic Repository (University of Kent). 155–156. 11 indexed citations

Grześ, Marek, et al.. (2019). Relating RNN Layers with the Spectral WFA Ranks in Sequence Modelling. 24–33. 1 indexed citations

Grześ, Marek. (2017). Reward Shaping in Episodic Reinforcement Learning. Adaptive Agents and Multi-Agents Systems. 565–573. 45 indexed citations

Grześ, Marek & Pascal Poupart. (2015). Incremental Policy Iteration with Guaranteed Escape from Local Optima in POMDP Planning. Adaptive Agents and Multi-Agents Systems. 1249–1257. 2 indexed citations

Grześ, Marek & Pascal Poupart. (2014). POMDP planning and execution in an augmented space. Adaptive Agents and Multi-Agents Systems. 757–764. 3 indexed citations

10.

Czajkowski, Marcin, Marek Grześ, & Marek Krętowski. (2014). Multi-test decision tree and its application to microarray data classification. Artificial Intelligence in Medicine. 61(1). 35–44. 34 indexed citations

11.

Grześ, Marek, Pascal Poupart, & Jesse Hoey. (2013). Isomorph-free branch and bound search for finite state controllers. Kent Academic Repository (University of Kent). 2282–2290. 11 indexed citations

12.

Grześ, Marek, Jesse Hoey, Shehroz S. Khan, et al.. (2013). Relational approach to knowledge engineering for POMDP-based assistance systems as a translation of a psychological model. International Journal of Approximate Reasoning. 55(1). 36–58. 11 indexed citations

13.

Grześ, Marek & Jesse Hoey. (2011). Efficient planning in R-max. Adaptive Agents and Multi-Agents Systems. 963–970. 3 indexed citations

14.

Hoey, Jesse, et al.. (2011). Goal-oriented sensor selection for intelligent phones. 83–83. 2 indexed citations

15.

Vrancx, Peter, et al.. (2011). Proceedings of the 11th international conference on Adaptive and Learning Agents. 1 indexed citations

16.

Grześ, Marek & Daniel Kudenko⋆. (2010). PAC-MDP learning with knowledge-based admissible models. Adaptive Agents and Multi-Agents Systems. 349–358. 1 indexed citations

17.

Grześ, Marek & Daniel Kudenko⋆. (2010). Online learning of shaping rewards in reinforcement learning. Neural Networks. 23(4). 541–550. 41 indexed citations

18.

Grześ, Marek & Daniel Kudenko⋆. (2009). Reinforcement Learning with Reward Shaping and Mixed Resolution Function Approximation. RePEc: Research Papers in Economics. 1(2). 36–54. 1 indexed citations

19.

Grześ, Marek & Daniel Kudenko⋆. (2008). Plan-based reward shaping for reinforcement learning. 10–22. 49 indexed citations

20.

Grześ, Marek, et al.. (1978). Termika osadów dennych w badaniu jezior. Zakład Narodowy im. Ossolińskich eBooks. 1 indexed citations

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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