Author

E. Oztop

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Forecasting in Ofﬂine Reinforcement Learning for Non-stationary Environments

F orecasting in Non-stationary O fﬂine RL (F ORL), a framework that combines zero-shot forecasting with the agent’s experience, aims to bridge the gap between ofﬂine RL and the complexities of real-world, non-stationary environments.

Suzan Ece, Georg Martius, Emre Ugur et al. · 0 citations