2 papers
cs.LG2026
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 g…
stat.ML2017
On overfitting and asymptotic bias in batch reinforcement learning with partial observability
Vincent Francois-Lavet, Guillaume Rabusseau, Joelle Pineau +2
This paper provides an analysis of the tradeoff between asymptotic bias (suboptimality with unlimited data) and overfitting (additional suboptimality due to limited data) in the co…