Data Scientist And Architect - A-Team Solution Architects
CurrentOngoing work on solutions to decision-making and optimization problems using reinforcement learning (RL) and model predictive control (MPC), including electric microgrid optimization, process optimization, congestion pricing, dialogue systems optimization, epidemic control, and inventory optimization. RL algorithms used include DQN, DDQN, DDPG, PPO. Also other work on anomaly detection using multiple machine learning algorithms. Development in Python, Tensorflow/Keras, RLlib, and Scikit-learn.