Alessandro Lazaric

30 papers receiving 401 citations

Peers

Alessandro Lazaric
Comparison fields: 5 of 55
  • Artificial Intelligence 318
  • Management Science and Operations Research 102
  • Control and Systems Engineering 85
  • Computational Theory and Mathematics 75
  • Computer Networks and Communications 45
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Citations per field
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Citations per year

Countries citing papers authored by Alessandro Lazaric

Since Specialization
Citations

This map shows the geographic impact of Alessandro Lazaric'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 Alessandro Lazaric with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Lazaric more than expected).

Fields of papers citing papers by Alessandro Lazaric

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alessandro Lazaric. 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 Alessandro Lazaric. The network helps show where Alessandro Lazaric may publish in the future.

Co-authorship network of co-authors of Alessandro Lazaric

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Lazaric. A scholar is included among the top collaborators of Alessandro Lazaric 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 Alessandro Lazaric. Alessandro Lazaric is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2
A Novel Confidence-Based Algorithm for Structured Bandits
0
3
Meta-learning with Stochastic Linear Bandits
3
4
Active Model Estimation in Markov Decision Processes.
0
5
No-regret exploration in goal-oriented reinforcement learning
0
6
Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs
3
7
Limiting Extrapolation in Linear Approximate Value Iteration
3
8
Rotting bandits are no harder than stochastic ones
5
9
Stochastic Optimization of a Locally Smooth Function under Correlated Bandit Feedback.
1
10
Sequential transfer in multi-armed bandit with finite set of models
2
11 3
12
A Dantzig Selector Approach to Temporal Difference Learning
0
13
Finite-Sample Analysis of LSTD
23
14
Bayesian Multi-Task Reinforcement Learning
46
15
Analysis of a Classification-based Policy Iteration Algorithm
18
16 4
17 13
18
Bifurcation Analysis of Reinforcement Learning Agents in the Selten's Horse Game.
1
19
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods
73
20
LEAP: Learning Entities Adaptive Partitioning.
1

About Alessandro Lazaric

Alessandro Lazaric is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computer Networks and Communications, having authored 38 papers that have together received 428 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (17 papers), Advanced Bandit Algorithms Research (14 papers) and Machine Learning and Algorithms (6 papers). The work is most often cited by research in Artificial Intelligence (318 citations), Management Science and Operations Research (102 citations) and Computational Theory and Mathematics (75 citations). Alessandro Lazaric has collaborated with scholars based in Italy, Israel and France. Frequent co-authors include Marcello Restelli, Andrea Bonarini, Mohammad Ghavamzadeh, Rémi Munos, Enrique Muñoz de Cote, Nicola Gatti, Robert M. Gower, Marco Rocco, Eliseo Ferrante and Gabriel Synnaeve. Their work appears in journals such as Fuzzy Sets and Systems, SIAM Journal on Optimization and Journal of Computer and System Sciences.

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.

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