Explores stochastic modeling of inertial sensors for optimal fusion with other devices, emphasizing precise sensor stochastics for improved navigation solutions.
Covers the basics of reinforcement learning, including Markov Decision Processes and policy gradient methods, and explores real-world applications and recent advances.
