2 papers
cs.LG2025
Domain Adaptation of Drag Reduction Policy to Partial Measurements
Anton Plaksin, Georgios Rigas
Feedback control of fluid-based systems poses significant challenges due to their high-dimensional, nonlinear, and multiscale dynamics, which demand real-time, three-dimensional, m…
cs.LG2024
Zero-Sum Positional Differential Games as a Framework for Robust Reinforcement Learning: Deep Q-Learning Approach
Anton Plaksin, Vitaly Kalev
Robust Reinforcement Learning (RRL) is a promising Reinforcement Learning (RL) paradigm aimed at training robust to uncertainty or disturbances models, making them more efficient f…