Sander Vržina

State Representation Matters in Deep Reinforcement Learning: Application to Energy Trading

Jesper Klicks, Sander Vržina, Vincent François-Lavet

Energy trading decisions depend not only on current market prices, but also on expected future market conditions, and operational constraints. This makes the state representation given to a reinforcement learning agent an important design choice. We study this in HydroDam, a pump…Read more