Optimizing thermodynamic trajectories using evolutionary reinforcement learning. - Chris Beeler; Uladzimir Yahorau; Rory Coles; Kyle Mills; Stephen Whitelam; Isaac Tamblyn (CoRR, 2019)

Dynamic programming with partial information to overcome navigational uncertainty in a nautical environment. - Chris Beeler; Xinkai Li; Mark Crowley 001; Maia Fraser; Isaac Tamblyn (CoRR, 2021)

ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry. - Chris Beeler; Sriram Ganapathi Subramanian; Kyle Sprague; Nouha Chatti; Colin Bellinger; Mitchell Shahen; Nicholas Paquin; Mark Baula; Amanuel Dawit; Zihan Yang; Xinkai Li; Mark Crowley 001; et al. (CoRR, 2023)

Dynamic programming with incomplete information to overcome navigational uncertainty in POMDPs. - Chris Beeler; Xinkai Li; Colin Bellinger; Mark Crowley 001; Maia Fraser; Isaac Tamblyn (Canadian AI, 2024)