1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.AI2026
Beyond the Black Box: Interpretability of Agentic AI Tool Use
Hariom Tatsat, Ariye Shater
AI agents are promising for high-stakes enterprise workflows, but dependable deployment remains limited because these tool-use decisions are difficult to diagnose and control. Agen…
cs.CE2025★ 1 cited
Beyond the Black Box: Interpretability of LLMs in Finance
Hariom Tatsat, Ariye Shater
Large Language Models (LLMs) exhibit remarkable capabilities across a spectrum of tasks in financial services, including report generation, chatbots, sentiment analysis, regulatory…
cs.LG2021
Robust Risk-Aware Reinforcement Learning
Sebastian Jaimungal, Silvana Pesenti, Ye Sheng Wang +1
We present a reinforcement learning (RL) approach for robust optimisation of risk-aware performance criteria. To allow agents to express a wide variety of risk-reward profiles, we…