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q-fin.TR2026
Can Reinforcement Learning Efficiently Discover Price Manipulation?
Ioanna-Yvonni Tsaknaki, Andrea Macrì, Fabrizio Lillo
In this paper, we investigate whether a model-free RL agent can identify and exploit price manipulation opportunities more effectively than a traditional model-based approach that…
cs.LG2026
Online Continual Learning for Time Series: a Natural Score-driven Approach
Edoardo Urettini, Daniele Atzeni, Ioanna-Yvonni Tsaknaki +1
Online continual learning (OCL) methods adapt to changing environments without forgetting past knowledge. Similarly, online time series forecasting (OTSF) is a real-world problem w…