Basic resources exploring Reinforcement Learning and reservoir operations.
THe ppo_intro/ folder contains a Jupyter Notebook with an intro to Proximal Policy Optimization, related to Lillian Lau's post on the Water Programming Blog: Deep Reinforcement Learning with PPO (the ML kind, not the health insurance kind)
The resops/ folder contains code implementing custom OpenAI Gym environments for reservoir operations with both continuous and discrete state/action spaces, along with a script for running a basic simulation using this environment. This code relates to Andrew Hamilton's post on the Water Programming Blog: Optimizing reservoir operations with Reinforcement Learning, Pt 1: Creating a custom Gymnasium environment.