Harm van Seijen

703 total citations
17 papers, 294 citations indexed

About

Harm van Seijen is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Harm van Seijen has authored 17 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 3 papers in Management Science and Operations Research. Recurrent topics in Harm van Seijen's work include Reinforcement Learning in Robotics (11 papers), Evolutionary Algorithms and Applications (8 papers) and Adaptive Dynamic Programming Control (2 papers). Harm van Seijen is often cited by papers focused on Reinforcement Learning in Robotics (11 papers), Evolutionary Algorithms and Applications (8 papers) and Adaptive Dynamic Programming Control (2 papers). Harm van Seijen collaborates with scholars based in Canada, Netherlands and United States. Harm van Seijen's co-authors include Shimon Whiteson, Marco Wiering, Hado van Hasselt, Romain Laroche, Mehdi Fatemi, Joshua Romoff, Richard S. Sutton, Leon Kester, Aaron Courville and Yoshua Bengio and has published in prestigious journals such as Computational Intelligence, UvA-DARE (University of Amsterdam) and arXiv (Cornell University).

In The Last Decade

Harm van Seijen

17 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Harm van Seijen Canada	8	186	49	45	44	38	17	294
Haoran Tang China	6	270 1.5×	40 0.8×	60 1.3×	47 1.1×	28 0.7×	21	380
Luisa Zintgraf United Kingdom	9	153 0.8×	34 0.7×	23 0.5×	41 0.9×	29 0.8×	14	322
Mehdi Fatemi Canada	7	174 0.9×	61 1.2×	45 1.0×	21 0.5×	83 2.2×	13	299
Steven Kapturowski United States	3	144 0.8×	22 0.4×	30 0.7×	21 0.5×	14 0.4×	5	194
André Barreto United States	8	176 0.9×	15 0.3×	46 1.0×	44 1.0×	14 0.4×	16	223
Gregory Kuhlmann United States	8	354 1.9×	20 0.4×	49 1.1×	38 0.9×	31 0.8×	10	423
Jiayi Li China	11	179 1.0×	47 1.0×	23 0.5×	51 1.2×	24 0.6×	43	300
Sanmit Narvekar United States	7	168 0.9×	21 0.4×	46 1.0×	13 0.3×	16 0.4×	11	232
Alberto Maria Metelli Italy	7	109 0.6×	22 0.4×	43 1.0×	18 0.4×	18 0.5×	32	205
Nils Jansen Netherlands	12	193 1.0×	16 0.3×	78 1.7×	142 3.2×	12 0.3×	68	380

Countries citing papers authored by Harm van Seijen

Since Specialization

Citations

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

Fields of papers citing papers by Harm van Seijen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harm van Seijen. 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 Harm van Seijen. The network helps show where Harm van Seijen may publish in the future.

Co-authorship network of co-authors of Harm van Seijen

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

All Works

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17 of 17 papers shown

Lee, Sungtae, et al.. (2021). Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks. arXiv (Cornell University). 9780–9790. 1 indexed citations

Ahmed, Faruk, Yoshua Bengio, Harm van Seijen, & Aaron Courville. (2021). Systematic generalisation with group invariant predictions. 11 indexed citations

Seijen, Harm van, et al.. (2020). The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning. PolyPublie (École Polytechnique de Montréal). 33. 6562–6572. 1 indexed citations

Fatemi, Mehdi, Shikhar Sharma, Harm van Seijen, & Samira Ebrahimi Kahou. (2019). Dead-ends and Secure Exploration in Reinforcement Learning. International Conference on Machine Learning. 97. 1873–1881. 4 indexed citations

Laroche, Romain, et al.. (2018). On Value Function Representation of Long Horizon Problems. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 8 indexed citations

Veeriah, Vivek, Harm van Seijen, & Richard S. Sutton. (2017). Forward Actor-Critic for Nonlinear Function Approximation in Reinforcement Learning. Adaptive Agents and Multi-Agents Systems. 556–564. 7 indexed citations

Seijen, Harm van, et al.. (2017). Hybrid Reward Architecture for Reinforcement Learning. arXiv (Cornell University). 30. 5392–5402. 110 indexed citations

Seijen, Harm van, et al.. (2014). True Online TD(lambda). International Conference on Machine Learning. 692–700. 12 indexed citations

Seijen, Harm van, et al.. (2013). Planning by Prioritized Sweeping with Small Backups. International Conference on Machine Learning. 361–369. 4 indexed citations

10.

Seijen, Harm van, Shimon Whiteson, & Leon Kester. (2013). EFFICIENT ABSTRACTION SELECTION IN REINFORCEMENT LEARNING. Computational Intelligence. 30(4). 657–699. 8 indexed citations

11.

Seijen, Harm van & Richard S. Sutton. (2013). Efficient Planning in MDPs by Small Backups. International Conference on Machine Learning. 8 indexed citations

12.

Seijen, Harm van, Shimon Whiteson, & Leon Kester. (2013). Efficient Abstraction Selection in Reinforcement Learning --- Extended Abstract. 1 indexed citations

13.

Seijen, Harm van & Shimon Whiteson. (2009). Postponed Updates for Temporal-Difference Reinforcement Learning. UvA-DARE (University of Amsterdam). 665–672. 3 indexed citations

14.

Seijen, Harm van, Hado van Hasselt, Shimon Whiteson, & Marco Wiering. (2009). Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning. 13 indexed citations

15.

Seijen, Harm van, Hado van Hasselt, Shimon Whiteson, & Marco Wiering. (2009). A theoretical and empirical analysis of Expected Sarsa. UvA-DARE (University of Amsterdam). 177–184. 96 indexed citations

16.

Seijen, Harm van, Bram Bakker, & Leon Kester. (2008). Switching between different state representations in reinforcement learning. UvA-DARE (University of Amsterdam). 226–231. 3 indexed citations

17.

Puig, Teresa, A. Puig-Molina, N. Mestres, et al.. (2000). Texture Analysis of Coated Conductors by Micro-Raman and Synchrotron x-ray Diffraction. MRS Proceedings. 659. 4 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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