ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry

no code implementations • 23 May 2023 • 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, Isaac Tamblyn

This paper provides a simulated laboratory for making use of Reinforcement Learning (RL) for chemical discovery.

reinforcement-learning Reinforcement Learning (RL)

Dynamic programming with incomplete information to overcome navigational uncertainty in a nautical environment

no code implementations • 29 Dec 2021 • Chris Beeler, Xinkai Li, Colin Bellinger, Mark Crowley, Maia Fraser, Isaac Tamblyn

Using a novel toy nautical navigation environment, we show that dynamic programming can be used when only incomplete information about a partially observed Markov decision process (POMDP) is known.