Monte-Carlo Planning in Large POMDPs
Impact in
Classified as
- Authors
- David SilverJoel Veness
- Journal
- DSpace@MIT (Massachusetts Institute of Technology)
In The Last Decade
doi.org/w8398952 →Countries where authors are citing Monte-Carlo Planning in Large POMDPs
This map shows the geographic impact of Monte-Carlo Planning in Large POMDPs. 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 Monte-Carlo Planning in Large POMDPs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monte-Carlo Planning in Large POMDPs more than expected).
Fields of papers citing Monte-Carlo Planning in Large POMDPs
This network shows the impact of Monte-Carlo Planning in Large POMDPs. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Monte-Carlo Planning in Large POMDPs.
About Monte-Carlo Planning in Large POMDPs
This paper, published in 2010, received 484 indexed citations . Written by David Silver and Joel Veness covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (318 citations), Computer Vision and Pattern Recognition (146 citations), Computer Networks and Communications (92 citations), Aerospace Engineering (60 citations) and Management Science and Operations Research (57 citations). Published in DSpace@MIT (Massachusetts Institute of Technology).
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.
This paper is also available at doi.org/w8398952.