Research

Conference Papers

• G.Neu and C.Pike-Burke, A Unifying View of Optimism in Episodic Reinforcement Learning, in Neural Information Processing Systems (NeurIPS), 2020 (to appear).

• C.Pike-Burke and S.Grünewälder, Recovering Bandits, in Neural Information Processing Systems (NeurIPS), 2019. (poster)

• C.Pike-Burke, S.Agrawal, C.Szepesvári and S.Grünewälder, Bandits with Delayed, Aggregated Anonymous Feedback, in International Conference on Machine Learning (ICML), 2018.

• C.Pike-Burke and S.Grünewälder, Optimistic Planning for the Stochastic Knapsack Problem, in International Conference on Artificial Intelligence and Statistics (AISTATS), 2017.

Workshop Papers

• C.Pike-Burke, and S.Grünewälder, Recovering Bandits, in European Workshop on Reinforcement Learning (EWRL), 2018.

• C.Pike-Burke and S.Grünewälder, Optimistic Planning for Question Selection, in NeurIPS workshop on Machine Learning for Education, 2016.

Thesis

My PhD was in collaboration with Sparx and focused on sequential decision problems arising from the problem of selecting questions to give to students in education software. In particular, I studied several variants of the multi-armed bandit problem specifically motivated by issues arising in education software. My thesis can be accessed here.