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Yongzhao Wang defends dissertation proposal

On 10 May 2022, Yongzhao Wang presented and successfully defended his dissertation proposal titled "Multi-agent Learning by Iterative Refinement of Game Models." The dissertation committee comprises: Michael Wellman [chair] Tilman…

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…
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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: …
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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] …