James Ault
- Ph.D. Student
I am currently a second-year Ph.D. student in Computer Science under the supervision of Prof. Guni Sharon at
Texas A&M University. My current interest lie in displacing learning agents from simulated environments
through approaches to exploration, reward shaping, curriculum learning, and alternative policy representations.
Previously, I obtained a B.S. in Computer Science from Rutgers University. Over the next few years I was employed with J.P. Morgan Chase as an associate software engineer, then left to pursue an M.S. in Computer Science. In my first semester I began research with Prof. Sharon and transferred to the Ph.D. program the following year.
Interests. Reinforcement Learning, Deep Learning, Evolutionary Computation, Machine Learning
Previously, I obtained a B.S. in Computer Science from Rutgers University. Over the next few years I was employed with J.P. Morgan Chase as an associate software engineer, then left to pursue an M.S. in Computer Science. In my first semester I began research with Prof. Sharon and transferred to the Ph.D. program the following year.
Interests. Reinforcement Learning, Deep Learning, Evolutionary Computation, Machine Learning
Publications
2021
- Multiagent Epidemiologic Inference through Realtime Contact Tracing, In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS) Guni Sharon, James Ault, Peter Stone, Varun Kompella, Roberto Capobianco
2020
- Learning an Interpretable Traffic Signal Control Policy, In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS) [code] James Ault, Josiah P. Hanna, Guni Sharon