This repository consists of Studies in Reinforcement Learning and Optimal Control, focused on monography and research in the area.
[Some introduction to the area.]
In the examples folder, one can find some of the working code examples:
examples/gymnasium_mountain_car: we work on a classic problem from Gymnasium, the Mountain Car problem.
For the examples, we use the python Gymnasium library, along with some basic numeric and scientific libraries. One is advised to install the dependencies and run our examples in a virtual environment.
- Dimitri P. Bertsekas. REINFORCEMENT LEARNING AND OPTIMAL CONTROL MIT course.
- Sutton, R. S., Barto, A. G. (2018 ). Reinforcement Learning: An Introduction. The MIT Press.
- Lapan, M. (2018). Deep Reinforcement Learning Hands-On. Birmingham, UK: Packt Publishing. ISBN: 978-1-78883-424-7
- Daniel Liberzon CALCULUS OF VARIATIONS AND OPTIMAL CONTROL THEORY - A CONCISE INTRODUCTION preliminary book notes.