Aviv Tamar
Impact in
- Artificial Intelligence top 5%
- Reinforcement Learning in Robotics
- Adversarial Robustness in Machine Learning
-
- Software-Defined Networks and 5G
- Network Traffic and Congestion Control
Papers in
-
- Advanced Bandit Algorithms Research 12
- Risk and Portfolio Optimization 6
-
- Reinforcement Learning in Robotics 18
- Machine Learning and Algorithms 3
- Adversarial Robustness in Machine Learning 3
- Data Stream Mining Techniques 3
- Co-authors
- Shie MannorMichael SchapiraJoëlle PineauPieter AbbeelDafna ShahafAsaf ValadarskyYinlam ChowBrighten Godfrey
- Journals
- Journal of Machine Learning Research (2 papers)Nature Communications (1 paper)IEEE Transactions on Automatic Control (1 paper)arXiv (Cornell University) (8 papers)International Conference on Learning Representations (1 paper)
- Partner nations
- IsraelUnited StatesFrance
In The Last Decade
Aviv Tamar
36 papers receiving 974 citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 465
- Computer Networks and Communications 280
- Control and Systems Engineering 236
- Management Science and Operations Research 126
- Computer Vision and Pattern Recognition 171
Countries citing papers authored by Aviv Tamar
This map shows the geographic impact of Aviv Tamar'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 Aviv Tamar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aviv Tamar more than expected).
Fields of papers citing papers by Aviv Tamar
This network shows the impact of papers produced by Aviv Tamar. 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 Aviv Tamar. The network helps show where Aviv Tamar may publish in the future.
Co-authors
The 25 scholars most cited alongside Aviv Tamar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | Offline Meta Reinforcement Learning -- Identifiability Challenges and Effective Data Collection Strategies | 2021 | 6 |
| 3 | 2020 | 6 | |
| 4 | 2020 | 10 | |
| 5 | A Deep Reinforcement Learning Perspective on Internet Congestion Control | 2019 | 105 |
| 6 | 2019 | 21 | |
| 7 | Model-Ensemble Trust-Region Policy Optimization | 2018 | 10 |
| 8 | Imitation Learning from Visual Data with Multiple Intentions | 2018 | 2 |
| 9 | 2018 | 1 | |
| 10 | Shallow Updates for Deep Reinforcement Learning | 2017 | 5 |
| 11 | 2017 | 143 | |
| 12 | 2016 | 20 | |
| 13 | 2015 | 146 | |
| 14 | 2015 | 12 | |
| 15 | 2015 | 25 | |
| 16 | 2015 | 48 | |
| 17 | Policy Gradients Beyond Expectations: Conditional Value-at-Risk. | 2014 | 11 |
| 18 | Scaling Up Robust MDPs using Function Approximation | 2014 | 18 |
| 19 | Temporal Difference Methods for the Variance of the Reward To Go | 2013 | 14 |
| 20 | 2012 | 0 |
About Aviv Tamar
Aviv Tamar is a scholar working on Management Science and Operations Research, Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 37 papers that have together received 1.0k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (18 papers), Advanced Bandit Algorithms Research (12 papers), Risk and Portfolio Optimization (6 papers), Robot Manipulation and Learning (5 papers), Blockchain Technology Applications and Security (4 papers), Machine Learning and Algorithms (3 papers), Adversarial Robustness in Machine Learning (3 papers) and Data Stream Mining Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (465 citations), Computer Networks and Communications (280 citations), Control and Systems Engineering (236 citations), Management Science and Operations Research (126 citations) and Computer Vision and Pattern Recognition (171 citations). Aviv Tamar has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Shie Mannor, Michael Schapira, Joëlle Pineau, Pieter Abbeel, Dafna Shahaf, Asaf Valadarsky, Yinlam Chow, Brighten Godfrey, Eugen Solowjow and Jianlan Luo. Their work appears in journals such as Journal of Machine Learning Research, Nature Communications, IEEE Transactions on Automatic Control, arXiv (Cornell University) and International Conference on Learning Representations.
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.