Evaluating Strategy Exploration in Empirical Game-Theoretic Analysis
Y Wang, Q Ma and MP Wellman
21st International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), pages 1346—1354, May 2022.
Abstract
In empirical game-theoretic analysis (EGTA), game models are extended iteratively through…
Stability Effects of Arbitrage in Exchange Traded Funds: An Agent-Based Model
M Shearer, D Byrd, TH Balch, and MP Wellman
2nd ACM International Conference on AI in Finance (ICAIF), Article No.: 49, pages 1–9, November 2021.
Abstract
An index-based exchange traded fund (ETF) with underlying securities that trade on…
An Agent-Based Model of Strategic Adoption of Real-Time Payments
K Mayo, S Fozdar, and MP Wellman
2nd ACM International Conference on AI in Finance (ICAIF), Article No.: 45, pages 1–9, November 2021.
Abstract
Real-time payments (RTPs) allow consumers to receive funds before the completion of payment…
SRG receives grant from Center on Long-Term Risk
SRG recently obtained funding from the Center on Long-term Risk, the research wing of the Effective Altruism Foundation, for a project titled "An Empirical Game-Theoretic Approach to Bargaining Problems" (see project page for further detail…
Megan Shearer defends thesis proposal
On June 1 2021, Megan Shearer presented and successfully defended her dissertation proposal titled "Modeling Trading Strategies in Financial Markets with Data, Simulation, and Deep Reinforcement Learning".
The dissertation committee comprises:
…
Max Smith defends thesis proposal
On 27 April 2021, Max Smith presented and successfully defended his dissertation proposal titled "On Efficient Deep Multiagent Reinforcement Learning Through Transfer Learning".
The dissertation committee comprises:
Michael Wellman [chair]
…
A Strategic Analysis of Portfolio Compression
K Mayo and MP Wellman
2nd ACM International Conference on AI in Finance (ICAIF), Article No.: 20, pages 1–8, November 2021.
Extended abstract appeared in 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS),…
Evolution Strategies for Approximate Solution of Bayesian Games
Z Li and MP Wellman
35th AAAI Conference on Artificial Intelligence, pages 5531-5540, Feb 2021.
Abstract
We address the problem of solving complex Bayesian games, characterized by high-dimensional type and action spaces, many (> 2) players,…
Iterative Empirical Game Solving via Single Policy Best Response
MO Smith, T Anthony, and MP Wellman
9th International Conference on Learning Representations (ICLR), Spotlight Presentation, May 2021.
Abstract
Policy-Space Response Oracles (PSRO) is a general algorithmic framework for learning policies…
