Projects per year
Personal profile
Research Interests
Game Theory; Learning in Games; Optimization; Fixed Point Algorithms.
Key Words
Game Theory; Learning in Games; Optimization; Fixed Point Algorithms.
Profession
Mathematical Civil Engineer, Universidad de Chile 2007
Education/Academic qualification
PhD, Université Pierre Et Marie Curie
Award Date: 1 Oct 2012
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Dive into the research topics where Mario Bravo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Stochastic Fixed Point Iterations and Reinforcement Learning
Cominetti, R. (Principal Investigator) & Bravo, M. (Co-Investigator)
Agencia Nacional de Investigación y Desarrollo
1/04/24 → 1/04/28
Project: Research
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ACT210005: Information and Computation in Market Design
Bravo, M. (Principal Investigator)
Agencia Nacional de Investigación y Desarrollo
1/12/21 → 1/12/24
Project: Research
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STOCHASTIC FIXED-POINT ITERATIONS FOR NONEXPANSIVE MAPS: CONVERGENCE AND ERROR BOUNDS
Bravo, M. & Cominetti, R., 2024, In: SIAM Journal on Control and Optimization. 62, 1, p. 191-219 29 p.Research output: Contribution to journal › Article › peer-review
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UNIVERSAL BOUNDS FOR FIXED POINT ITERATIONS VIA OPTIMAL TRANSPORT METRICS
Bravo, M., Champion, T. & Cominetti, R., 1 Dec 2022, In: Applied Set-Valued Analysis and Optimization. 4, 3, p. 293-310 18 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Learning with minimal information in continuous games
Bervoets, S., Bravo, M. & Faure, M., Nov 2020, In: Theoretical Economics. 15, 4, p. 1471-1508 38 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Rates of convergence for inexact Krasnosel’skii–Mann iterations in Banach spaces
Bravo, M., Cominetti, R. & Pavez-Signé, M., 1 May 2019, In: Mathematical Programming. 175, 1-2, p. 241-262 22 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Bandit learning in concave n-person games
Bravo, M., Leslie, D. & Mertikopoulos, P., 2018, In: Advances in Neural Information Processing Systems. 2018-December, p. 5661-5671 11 p.Research output: Contribution to journal › Conference article › peer-review
70 Scopus citations