7 citations · 7 across the 1 of their papers we have counts for
3 papers
cs.AI2020
Active Measure Reinforcement Learning for Observation Cost Minimization
Colin Bellinger, Rory Coles, Mark Crowley +1
Standard reinforcement learning (RL) algorithms assume that the observation of the next state comes instantaneously and at no cost. In a wide variety of sequential decision making…
cs.LG2020
Reinforcement Learning in a Physics-Inspired Semi-Markov Environment
Colin Bellinger, Rory Coles, Mark Crowley +1
Reinforcement learning (RL) has been demonstrated to have great potential in many applications of scientific discovery and design. Recent work includes, for example, the design of…
cs.NE2019★ 7 cited
Optimizing thermodynamic trajectories using evolutionary and gradient-based reinforcement learning
Chris Beeler, Uladzimir Yahorau, Rory Coles +3
Using a model heat engine, we show that neural network-based reinforcement learning can identify thermodynamic trajectories of maximal efficiency. We consider both gradient and gra…