4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 4 cited
ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry
Chris Beeler, Sriram Ganapathi Subramanian, Kyle Sprague +10
This paper provides a simulated laboratory for making use of Reinforcement Learning (RL) for chemical discovery. Since RL is fairly data intensive, training agents `on-the-fly' by…
math.OC2021
Dynamic programming with incomplete information to overcome navigational uncertainty in a nautical environment
Chris Beeler, Xinkai Li, Colin Bellinger +3
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…