Mohammad Ghavamzadeh
- Artificial Intelligence top 0.5%
- Control and Systems Engineering top 2%
- Management Science and Operations Research top 1%
- Computational Theory and Mathematics top 1%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Abbas KhosraviFarhad PourpanahMoloud AbdarSaeid NahavandiXiaochun CaoPaul FieguthLi LiuU. Rajendra Acharya
- Topics
- Reinforcement Learning in Robotics (37 papers)Advanced Bandit Algorithms Research (27 papers)Machine Learning and Algorithms (18 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Automatic ControlAutomatica
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Mohammad Ghavamzadeh
62 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Artificial Intelligence 1.5k
- Control and Systems Engineering 401
- Management Science and Operations Research 397
- Computational Theory and Mathematics 360
- Computer Vision and Pattern Recognition 310
Countries citing papers authored by Mohammad Ghavamzadeh
This map shows the geographic impact of Mohammad Ghavamzadeh'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 Mohammad Ghavamzadeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Ghavamzadeh more than expected).
Fields of papers citing papers by Mohammad Ghavamzadeh
This network shows the impact of papers produced by Mohammad Ghavamzadeh. 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 Mohammad Ghavamzadeh. The network helps show where Mohammad Ghavamzadeh may publish in the future.
Co-authorship network of co-authors of Mohammad Ghavamzadeh
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Ghavamzadeh. A scholar is included among the top collaborators of Mohammad Ghavamzadeh 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 Mohammad Ghavamzadeh. Mohammad Ghavamzadeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A review of uncertainty quantification in deep learning: Techniques, applications and challengesbreakdown → | 1491 |
| 2 | Stochastic Bandits with Linear Constraints | 2 |
| 3 | PID Accelerated Value Iteration Algorithm | 1 |
| 4 | Safe Policy Learning for Continuous Control | 3 |
| 5 | Active Model Estimation in Markov Decision Processes. | 0 |
| 6 | Multi-Step Greedy and Approximate Real Time Dynamic Programming | 2 |
| 7 | PAC Bandits with Risk Constraints. | 5 |
| 8 | Path Consistency Learning in Tsallis Entropy Regularized MDPs | 4 |
| 9 | Sequential Multiple Hypothesis Testing with Type I Error Control. | 5 |
| 10 | Diffusion Independent Semi-Bandit Influence Maximization. | 4 |
| 11 | Personalized ad recommendation systems for life-time value optimization with guarantees | 26 |
| 12 | High Confidence Policy Improvement | 32 |
| 13 | Actor-Critic Algorithms for Risk-Sensitive Reinforcement Learning. | 1 |
| 14 | Speedy Q-Learning | 43 |
| 15 | Finite-Sample Analysis of LSTD | 23 |
| 16 | Bayesian Multi-Task Reinforcement Learning | 46 |
| 17 | Analysis of a Classification-based Policy Iteration Algorithm | 18 |
| 18 | Regularized Policy Iteration | 53 |
| 19 | Hierarchically Optimal Average Reward Reinforcement Learning | 9 |
| 20 | Continuous-Time Hierarchical Reinforcement Learning | 13 |
About Mohammad Ghavamzadeh
Mohammad Ghavamzadeh is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computational Theory and Mathematics, having authored 66 papers that have together received 2.8k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (37 papers), Advanced Bandit Algorithms Research (27 papers) and Machine Learning and Algorithms (18 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Health Informatics (49 citations) and Management Science and Operations Research (397 citations). Mohammad Ghavamzadeh has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Abbas Khosravi, Farhad Pourpanah, Moloud Abdar, Saeid Nahavandi, Xiaochun Cao, Paul Fieguth, Li Liu, U. Rajendra Acharya, Dana Rezazadegan and Vladimir Makarenkov. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and Automatica.
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.