🎉 Three Papers Accepted at ICAIF 2024
Our research team has three papers accepted at the 5th ACM International Conference on AI in Finance
About Me
Chris Mascioli is a PhD student in the Strategic Reasoning Group, advised by Professor Michael Wellman, focusing on reinforcement learning, neural network architectures, and artificial reasoning.
Interests
- Artificial Intelligence
- Game Theory
- Multi-Agent Systems
- Neural Network Architectures
- Reasoning
Education
PhD Artificial Intelligence
University of Michigan
ScM Computer Science
Brown University
BEng Electrical Engineering
The Cooper Union for the Advancement of Science and Art
📚 My Research
My research is at the intersection of artificial intelligence, multi-agent systems, and neural networks. I develop computational methods to understand complex multiagent interactions, with a focus on strategic agent behavior.
Please reach out to collaborate 😃
Featured Publications
Recent Publications
(2024).
A Financial Market Simulation Environment for Trading Agents Using Deep Reinforcement Learning.
In ICAIF.
(2024).
Market Making with Learned Beta Policies.
In ICAIF.
(2024).
The Effect of Liquidity on the Spoofability of Financial Markets.
In ICAIF.
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