Erik Talvitie
- Artificial Intelligence top 10%
- Management Science and Operations Research
- Computational Theory and Mathematics
- Control and Systems Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Satinder SinghMichael BowlingYitao LiangMarlos C. MachadoJoel VenessMarc G. BellemareSriram SrinivasanMatthew Hausknecht
- Topics
- Reinforcement Learning in Robotics (11 papers)Artificial Intelligence in Games (5 papers)Machine Learning and Algorithms (4 papers)
- Cited by
- Artificial IntelligenceManagement Science and Operations ResearchComputational Theory and Mathematics
- Journals
- arXiv (Cornell University)Neural Information Processing SystemsInternational Joint Conference on Artificial Intelligence
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Erik Talvitie
16 papers receiving 129 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 127
- Management Science and Operations Research 20
- Computational Theory and Mathematics 18
- Control and Systems Engineering 15
- Computer Vision and Pattern Recognition 12
Countries citing papers authored by Erik Talvitie
This map shows the geographic impact of Erik Talvitie'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 Erik Talvitie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Talvitie more than expected).
Fields of papers citing papers by Erik Talvitie
This network shows the impact of papers produced by Erik Talvitie. 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 Erik Talvitie. The network helps show where Erik Talvitie may publish in the future.
Co-authorship network of co-authors of Erik Talvitie
This figure shows the co-authorship network connecting the top 25 collaborators of Erik Talvitie. A scholar is included among the top collaborators of Erik Talvitie 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 Erik Talvitie. Erik Talvitie 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 | 16 | |
| 3 | 23 | |
| 4 | 2 | |
| 5 | Pairwise Relative Offset Features for Atari 2600 Games. | 1 |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 7 | |
| 9 | Skip Context Tree Switching | 10 |
| 10 | Model regularization for stable sample rollouts | 10 |
| 11 | 8 | |
| 12 | Learning Partially Observable Models Using Temporally Abstract Decision Trees | 4 |
| 13 | Maintaining predictions over time without a model | 3 |
| 14 | Building incomplete but accurate models | 3 |
| 15 | Simple Local Models for Complex Dynamical Systems | 14 |
| 16 | An experts algorithm for transfer learning | 28 |
About Erik Talvitie
Erik Talvitie is a scholar working on Artificial Intelligence, Signal Processing and Management Science and Operations Research, having authored 16 papers that have together received 140 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (11 papers), Artificial Intelligence in Games (5 papers) and Machine Learning and Algorithms (4 papers). The work is most often cited by research in Artificial Intelligence (127 citations), Management Science and Operations Research (20 citations) and Computational Theory and Mathematics (18 citations). Erik Talvitie has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Satinder Singh, Michael Bowling, Satinder Singh, Yitao Liang, Marlos C. Machado, Joel Veness, Marc G. Bellemare, Sriram Srinivasan and Matthew Hausknecht. Their work appears in journals such as arXiv (Cornell University), Neural Information Processing Systems and International Joint Conference on Artificial Intelligence.
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.