23 citations · 86 across the 26 of their papers we have counts for
7 papers · 1 filter
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…
Tax Credits and Household Behavior: The Roles of Myopic Decision-Making and Liquidity in a Simulated Economy
Kshama Dwarakanath, Jialin Dong, Svitlana Vyetrenko
There has been a growing interest in multi-agent simulators in the domain of economic modeling. However, contemporary research often involves developing reinforcement learning (RL)…
ABIDES-Economist: Agent-Based Simulator of Economic Systems with Learning Agents
Kshama Dwarakanath, Tucker Balch, Svitlana Vyetrenko
We present ABIDES-Economist, an agent-based simulator for economic systems that includes heterogeneous households, firms, a central bank, and a government. Agent behavior can be de…
Transparency as Delayed Observability in Multi-Agent Systems
Kshama Dwarakanath, Svitlana Vyetrenko, Toks Oyebode +1
Is transparency always beneficial in complex systems such as traffic networks and stock markets? How is transparency defined in multi-agent systems, and what is its optimal degree…
Analyzing the Impact of Tax Credits on Households in Simulated Economic Systems with Learning Agents
Jialin Dong, Kshama Dwarakanath, Svitlana Vyetrenko
In economic modeling, there has been an increasing investigation into multi-agent simulators. Nevertheless, state-of-the-art studies establish the model based on reinforcement lear…
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…