Reinforcement Learning with Restrictions on the Action Set. - Mario Bravo; Mathieu Faure (SIAM J. Control. Optim., 2015)

An Adjusted Payoff-Based Procedure for Normal Form Games. - Mario Bravo (Math. Oper. Res., 2016)

On the robustness of learning in games with stochastically perturbed payoff observations. - Mario Bravo; Panayotis Mertikopoulos (Games Econ. Behav., 2017)

Bandit Learning in Concave N-Person Games. - Mario Bravo; David S. Leslie; Panayotis Mertikopoulos (NeurIPS, 2018)

Learning with minimal information in continuous games. - Sebastian Bervoets; Mario Bravo; Mathieu Faure (CoRR, 2018)

Rates of convergence for inexact Krasnosel'skii-Mann iterations in Banach spaces. - Mario Bravo; Roberto Cominetti; Matías Pavez-Signé (Math. Program., 2019)

Stochastic Halpern iteration in normed spaces and applications to reinforcement learning. - Mario Bravo; Juan Pablo Contreras (CoRR, 2024)

Stochastic Fixed-Point Iterations for Nonexpansive Maps: Convergence and Error Bounds. - Mario Bravo; Roberto Cominetti (SIAM J. Control. Optim., 2024)

Mixing Times and Privacy Analysis for the Projected Langevin Algorithm under a Modulus of Continuity. - Mario Bravo; Juan P. Flores-Mella; Cristóbal Guzmán (CoRR, 2025)

Near-Optimal Sample Complexity for MDPs via Anchoring. - Jongmin Lee; Mario Bravo; Roberto Cominetti (CoRR, 2025)