3 citations · 10 across the 11 of their papers we have counts for
5 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)…
LLM-driven Imitation of Subrational Behavior : Illusion or Reality?
Andrea Coletta, Kshama Dwarakanath, Penghang Liu +2
Modeling subrational agents, such as humans or economic households, is inherently challenging due to the difficulty in calibrating reinforcement learning models or collecting data…
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…