Piotr Miłoś
- Mathematical Physics top 10%
- Statistics and Probability top 10%
- Artificial Intelligence
- Sociology and Political Science
- Condensed Matter Physics
- Co-authors
- Bastien MalleinRon PeledBłażej OsińskiDumitru ErhanAfroz MohiuddinMohammad BabaeizadehRyan SepassiKonrad Czechowski
- Topics
- Stochastic processes and statistical mechanics (9 papers)Theoretical and Computational Physics (7 papers)Markov Chains and Monte Carlo Methods (4 papers)
- Journals
- Communications in Mathematical PhysicsJournal of Health EconomicsStochastic Processes and their Applications
- Partner nations
- PolandUnited KingdomUnited States
In The Last Decade
Piotr Miłoś
15 papers receiving 114 citations
Peers
Comparison fields: 5 of 52
- Mathematical Physics 45
- Statistics and Probability 28
- Artificial Intelligence 27
- Sociology and Political Science 26
- Condensed Matter Physics 18
Countries citing papers authored by Piotr Miłoś
This map shows the geographic impact of Piotr Miłoś'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 Piotr Miłoś with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piotr Miłoś more than expected).
Fields of papers citing papers by Piotr Miłoś
This network shows the impact of papers produced by Piotr Miłoś. 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 Piotr Miłoś. The network helps show where Piotr Miłoś may publish in the future.
Co-authorship network of co-authors of Piotr Miłoś
This figure shows the co-authorship network connecting the top 25 collaborators of Piotr Miłoś. A scholar is included among the top collaborators of Piotr Miłoś 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 Piotr Miłoś. Piotr Miłoś is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | Model Based Reinforcement Learning for Atari | 23 |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 13 | |
| 10 | Hierarchical Reinforcement Learning with Parameters | 2 |
| 11 | 3 | |
| 12 | 9 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 37 | |
| 16 | 6 | |
| 17 | 4 |
About Piotr Miłoś
Piotr Miłoś is a scholar working on Mathematical Physics, Condensed Matter Physics and Statistics and Probability, having authored 17 papers that have together received 119 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (9 papers), Theoretical and Computational Physics (7 papers) and Markov Chains and Monte Carlo Methods (4 papers). The work is most often cited by research in Mathematical Physics (45 citations), Statistics and Probability (28 citations) and Condensed Matter Physics (18 citations). Piotr Miłoś has collaborated with scholars based in Poland, United Kingdom and United States. Frequent co-authors include Bastien Mallein, Ron Peled, Błażej Osiński, Dumitru Erhan, Afroz Mohiuddin, Mohammad Babaeizadeh, Ryan Sepassi, Konrad Czechowski, Henryk Michalewski and Sergey Levine. Their work appears in journals such as Communications in Mathematical Physics, Journal of Health Economics and Stochastic Processes and their Applications.
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.