activity
20192025
most citedABIDES-Gym: Gym Environments for Multi-Agent Discrete Event Simulation and Application to Financial Markets

23 citations · 57 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2025

TADACap: Time-series Adaptive Domain-Aware Captioning

Elizabeth Fons, Rachneet Kaur, Zhen Zeng +4

While image captioning has gained significant attention, the potential of captioning time-series images, prevalent in areas like finance and healthcare, remains largely untapped. E…

cs.MA2024

Empirical Equilibria in Agent-based Economic systems with Learning agents

Kshama Dwarakanath, Svitlana Vyetrenko, Tucker Balch

We present an agent-based simulator for economic systems with heterogeneous households, firms, central bank, and government agents. These agents interact to define production, cons…

stat.ML2022

Optimal Stopping with Gaussian Processes

Kshama Dwarakanath, Danial Dervovic, Peyman Tavallali +2

We propose a novel group of Gaussian Process based algorithms for fast approximate optimal stopping of time series with specific applications to financial markets. We show that str…

q-fin.TR202220 cited

Learning to simulate realistic limit order book markets from data as a World Agent

Andrea Coletta, Aymeric Moulin, Svitlana Vyetrenko +1

Multi-agent market simulators usually require careful calibration to emulate real markets, which includes the number and the type of agents. Poorly calibrated simulators can lead t…

cs.GT2022

Equitable Marketplace Mechanism Design

Kshama Dwarakanath, Svitlana S Vyetrenko, Tucker Balch

We consider a trading marketplace that is populated by traders with diverse trading strategies and objectives. The marketplace allows the suppliers to list their goods and facilita…

cs.MA20211 cited

Profit equitably: An investigation of market maker's impact on equitable outcomes

Kshama Dwarakanath, Svitlana S Vyetrenko, Tucker Balch

We look at discovering the impact of market microstructure on equitability for market participants at public exchanges such as the New York Stock Exchange or NASDAQ. Are these envi…