11 papers
A Harmonic Mean Formulation of Average Reward Reinforcement Learning in SMDPs
Erel Shtossel, Alicia Vidler, Uri Shaham +1
Recent research has revived and amplified interest in algorithms for undiscounted average reward reinforcement learning in infinite-horizon, non-episodic (continuing) tasks. Semi-M…
Multiagent Reinforcement Learning for Liquidity Games
Alicia Vidler, Gal A. Kaminka
Making use of swarm methods in financial market modeling of liquidity, and techniques from financial analysis in swarm analysis, holds the potential to advance both research areas.…
Playing games with Large language models: Randomness and strategy
Alicia Vidler, Toby Walsh
Playing games has a long history of describing intricate interactions in simplified forms. In this paper we explore if large language models (LLMs) can play games, investigating th…
Shifting Power: Leveraging LLMs to Simulate Human Aversion in ABMs of Bilateral Financial Exchanges, A bond market study
Alicia Vidler, Toby Walsh
Bilateral markets, such as those for government bonds, involve decentralized and opaque transactions between market makers (MMs) and clients, posing significant challenges for trad…
Evaluating Binary Decision Biases in Large Language Models: Implications for Fair Agent-Based Financial Simulations
Alicia Vidler, Toby Walsh
Large Language Models (LLMs) are increasingly being used to simulate human-like decision making in agent-based financial market models (ABMs). As models become more powerful and ac…
Decoding OTC Government Bond Market Liquidity: An ABM Model for Market Dynamics
Alicia Vidler, Toby Walsh
The over-the-counter (OTC) government bond markets are characterised by their bilateral trading structures, which pose unique challenges to understanding and ensuring market stabil…