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This paper proposes efficient online learning algorithms for policy evaluation in MDPs with dynamic utility-based shortfall risk (UBSR) measures under linear function approximation, introducing the UBSR-TD algorithm and demonstrating its convergence and practical effectiveness.
Introduces FinInvest-GTCN, a graph-temporal-causal network for risk-aware venture capital investment decisions, achieving state-of-the-art risk-adjusted returns with explainable predictions.