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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: …

An Agent-Based Model of Financial Benchmark Manipulation

M Shearer, G Rauterberg, and MP Wellman ICML Workshop on Applications and Infrastructure for Multi-Agent Learning, June 2019 Abstract Financial benchmarks estimate market values or reference rates used in a wide variety of contexts, but are…

Incentivizing rider time-shift in a multi-leg public transportation system

M Shearer and MP Wellman 10th International Workshop on Agents in Traffic and Transportation, July 2018. Abstract We develop an incentive scheme for a hub-to-shuttle campus transit system, encouraging riders to shift travel times to improve…
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Megan Shearer Passes Prelim

Megan Shearer passed her prelim exam, based on her directed study project: Incentivizing Rider Time-Shift in a Multi-Leg Public Transportation System. Congratulations, Megan.