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Machine Learning, Algorithmic Trading, and Manipulation

Columbia Blue Sky Blog post based on the report by Megan Shearer, Gabriel Rauterberg, and Michael Wellman.

Exploiting Extensive-Form Structure in Empirical Game-Theoretic Analysis

C Konicki, M Chakraborty, MP Wellman 18th Conference on Web and Internet Economics (WINE), 2022 (Forthcoming) Abstract Empirical game-theoretic analysis (EGTA) is a general framework for reasoning about complex games using agent-based simulation.…
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Megan Shearer defends dissertation

On June 27, 2022, Megan Shearer successfully defended her PhD dissertation titled, "Modeling Trading Strategies in Financial Markets with Data, Simulation, and Deep Reinforcement Learning." Congratulations, Dr. Shearer! We wish you a bright…

Solving Structured Hierarchical Games Using Differential Backward Induction

Z Li, F Jia, A Mate, S Jabbari, M Chakraborty, M Tambe, and Y Vorobeychik 38th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 180: pp. 1107–1117, August 2022 Previous version presented at ICLR Workshop on Gamification…

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…

Timing is Money: The Impact of Arrival Order in Beta-Bernoulli Prediction Markets

B Martin, S Kutty, and M Chakraborty 2nd ACM International Conference on AI in Finance (ICAIF), Article No.: 41, pages 1–9, November 2021. Abstract Prediction markets are incentive-based mechanisms for eliciting and combining the diffused,…

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…

Building Action Sets in a Deep Reinforcement Learner

Y Wang, A Sinha, S CH-Wang, and MP Wellman 20th IEEE International Conference on Machine Learning and Applications (ICMLA-21), pages 484–489, December 2021. Abstract In many policy-learning applications, the agent may execute a set of actions…

Designing a Combinatorial Financial Options Market

X Wang, DM Pennock, NR Devanur, DM Rothschild, B Tao, and MP Wellman 22nd ACM Conference on Economics and Computation (EC), pages 864-883, July 2021. Abstract Financial options are contracts that specify the right to buy or sell an underlying…