2 papers
cs.LG2025
Methodological Insights into Structural Causal Modelling and Uncertainty-Aware Forecasting for Economic Indicators
Federico Cerutti
This paper presents a methodological approach to financial time series analysis by combining causal discovery and uncertainty-aware forecasting. As a case study, we focus on four k…
cs.AI2025
Learning Robust Reward Machines from Noisy Labels
Roko Parac, Lorenzo Nodari, Leo Ardon +3
This paper presents PROB-IRM, an approach that learns robust reward machines (RMs) for reinforcement learning (RL) agents from noisy execution traces. The key aspect of RM-driven R…