7 citations · 11 across the 3 of their papers we have counts for
3 papers
Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function
Clément Bonnet, Laurence Midgley, Alexandre Laterre
Meta-gradient Reinforcement Learning (RL) allows agents to self-tune their hyper-parameters in an online fashion during training. In this paper, we identify a bias in the meta-grad…
Synthesis of separation processes with reinforcement learning
Stephan C. P. A. van Kalmthout, Laurence I. Midgley, Meik B. Franke
This paper shows the implementation of reinforcement learning (RL) in commercial flowsheet simulator software (Aspen Plus V12) for designing and optimising a distillation sequence.…
Deep Reinforcement Learning for Process Synthesis
Laurence Illing Midgley
This paper demonstrates the application of reinforcement learning (RL) to process synthesis by presenting Distillation Gym, a set of RL environments in which an RL agent is tasked…