2 papers
cs.AI2025
From Natural Language to Extensive-Form Game Representations
Shilong Deng, Yongzhao Wang, Rahul Savani
We introduce a framework for translating game descriptions in natural language into extensive-form representations in game theory, leveraging Large Language Models (LLMs) and in-co…
q-fin.TR2020
Robust Market Making via Adversarial Reinforcement Learning
Thomas Spooner, Rahul Savani
We show that adversarial reinforcement learning (ARL) can be used to produce market marking agents that are robust to adversarial and adaptively-chosen market conditions. To apply…