My research is in artificial intelligence, a field that seeks to re-create the useful intelligent abilities developed by biological life forms, particularly humans.
My graduate work focused on relational transfer in reinforcement learning. This former website lists publications in that area.
At St. Lawrence, my work has turned towards teaching in reinforcement learning as well as human learning. Below is a list of publications in these areas.
- The Turing Test in the Classroom
Symposium on Educational Advances in Artificial Intelligence (2016)
- Reinforcement learning agents providing advice in complex video games
Connection Science (2014)
- Teaching on a budget: agents advising agents in reinforcement learning
Conference on Autonomous Agents and Multiagent Systems (2013)
- Teaching problem-solving in algorithms and AI
Symposium on Educational Advances in Artificial Intelligence (2012)
- Towards student/teacher learning in sequential decision tasks
Conference on Autonomous Agents and Multiagent Systems (2012)
- Help an agent out: student/teacher learning in sequential decision tasks
Adaptive Learning Agents Workshop at AAMAS (2012)
- Lightweight adaptation in model-based reinforcement learning
Lifelong Learning Workshop at AAAI (2011)
- Student interest and choice in programming assignments
Northeastern Consortium for Computing Sciences in Colleges (2011)
- Crowd simulation via multi-agent reinforcement learning
Conference on Artificial Intelligence and Interactive Digital Entertainment (2010)