| 2022 | CEC | Fast Re-Optimization of LeadingOnes with Frequent Changes. | Nina Bulanova, Arina Buzdalova, Carola Doerr |
| 2021 | CEC | Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms. | Kirill Antonov, Maxim Buzdalov, Arina Buzdalova, Carola Doerr |
| 2020 | PPSN | Hybridizing the 1/5-th Success Rule with Q-Learning for Controlling the Mutation Rate of an Evolutionary Algorithm. | Arina Buzdalova, Carola Doerr, Anna Rodionova |
| 2019 | GECCO | Illustrating the trade-off between time, quality, and success probability in heuristic search: a discussion paper. | Ivan Ignashov, Arina Buzdalova, Maxim Buzdalov, Carola Doerr |
| 2019 | GECCO | Offspring population size matters when comparing evolutionary algorithms with self-adjusting mutation rates. | Anna Rodionova, Kirill Antonov, Arina Buzdalova, Carola Doerr |
| 2019 | GECCO | Fixed-target runtime analysis of the (1 + 1) EA with resampling. | Dmitry Vinokurov, Maxim Buzdalov, Arina Buzdalova, Benjamin Doerr, Carola Doerr |
| 2018 | GECCO | Runtime analysis of a population-based evolutionary algorithm with auxiliary objectives selected by reinforcement learning. | Denis Antipov, Arina Buzdalova, Andrew Stankevich |
| 2017 | CEC | Runtime Analysis of Random Local Search on JUMP function with Reinforcement Based Selection of Auxiliary Objectives. | Denis Antipov, Arina Buzdalova |
| 2017 | GECCO | Reinforcement learning based dynamic selection of auxiliary objectives with preservation of the best found solution. | Irina Petrova, Arina Buzdalova |
| 2016 | GECCO | Fitness-Dependent Hybridization of Clonal Selection Algorithm and Random Local Search. | Nina Bulanova, Arina Buzdalova, Maxim Buzdalov |
| 2016 | GECCO | Adaptive Parameter Selection in Evolutionary Algorithms by Reinforcement Learning with Dynamic Discretization of Parameter Range. | Arkady Rost, Irina Petrova, Arina Buzdalova |
| 2015 | CEC | Analysis of Q-learning with random exploration for selection of auxiliary objectives in random local search. | Maxim Buzdalov, Arina Buzdalova |
| 2015 | CEC | Can OneMax help optimizing LeadingOnes using the EA+RL method? | Maxim Buzdalov, Arina Buzdalova |
| 2015 | GECCO | Selection of Auxiliary Objectives with Multi-Objective Reinforcement Learning. | Arina Buzdalova, Anna Matveeva, Georgiy Korneev |
| 2015 | GECCO | Selection of Auxiliary Objectives in the Travelling Salesman Problem using Reinforcement Learning. | Irina Petrova, Arina Buzdalova |
| 2014 | GECCO | Selecting evolutionary operators using reinforcement learning: initial explorations. | Arina Buzdalova, Vladislav Kononov, Maxim Buzdalov |
| 2014 | GECCO | Onemax helps optimizing XdivK: : theoretical runtime analysis for RLS and EA+RL. | Maxim Buzdalov, Arina Buzdalova |
| 2014 | GECCO | NSGA-II implementation details may influence quality of solutions for the job-shop scheduling problem. | Maxim Buzdalov, Irina Petrova, Arina Buzdalova |
| 2014 | ICMLA | A New Algorithm for Adaptive Online Selection of Auxiliary Objectives. | Arina Buzdalova, Maxim Buzdalov |
| 2014 | ICMLA | Improved Selection of Auxiliary Objectives Using Reinforcement Learning in Non-stationary Environment. | Irina Petrova, Arina Buzdalova, Maxim Buzdalov |
| 2013 | CEC | Adaptive selection of helper-objectives for test case generation. | Maxim Buzdalov, Arina Buzdalova |
| 2013 | GECCO | Generation of tests for programming challenge tasks using multi-objective optimization. | Maxim Buzdalov, Arina Buzdalova, Irina Petrova |
| 2013 | ICMLA | A First Step towards the Runtime Analysis of Evolutionary Algorithm Adjusted with Reinforcement Learning. | Maxim Buzdalov, Arina Buzdalova, Anatoly Shalyto |
| 2013 | ICMLA | Improved Helper-Objective Optimization Strategy for Job-Shop Scheduling Problem. | Irina Petrova, Arina Buzdalova, Maxim Buzdalov |
| 2013 | SSBSE | Generation of Tests for Programming Challenge Tasks Using Helper-Objectives. | Arina Buzdalova, Maxim Buzdalov, Vladimir Parfenov |
| 2012 | ICMLA | Increasing Efficiency of Evolutionary Algorithms by Choosing between Auxiliary Fitness Functions with Reinforcement Learning. | Arina Buzdalova, Maxim Buzdalov |
| 2012 | ICMLA | Adaptive Selection of Helper-Objectives with Reinforcement Learning. | Arina Buzdalova, Maxim Buzdalov |