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Laurence Midgley
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Flow Annealed Importance Sampling Bootstrap
LI Midgley, V Stimper, GNC Simm, B Schölkopf, JM Hernández-Lobato
The Eleventh International Conference on Learning Representations, 2023
152023
Deep Reinforcement Learning for Process Synthesis
LI Midgley
arXiv preprint arXiv:2009.13265, 2020
82020
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
C Bonnet, D Luo, D Byrne, S Surana, V Coyette, P Duckworth, LI Midgley, ...
arXiv preprint arXiv:2306.09884, 2023
6*2023
Synthesis of separation processes with reinforcement learning
SCPA van Kalmthout, LI Midgley, MB Franke
arXiv preprint arXiv:2211.04327, 2022
22022
Bootstrap Your Flow
LI Midgley, V Stimper, GNC Simm, JM Hernández-Lobato
4th Symposium on Advances in Approximate Bayesian Inference, 2021
22021
Reinforcement learning for chemical engineering process synthesis
LI Midgley, M Thomson
University of Cape Town, 2019
22019
Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function
C Bonnet, L Midgley, A Laterre
Sixth Workshop on Meta-Learning at the Conference on Neural Information …, 2022
12022
SE (3) Equivariant Augmented Coupling Flows
LI Midgley, V Stimper, J Antorán, E Mathieu, B Schölkopf, ...
arXiv preprint arXiv:2308.10364, 2023
2023
Reinforcement learning for process synthesis with COCO and ChemSep: Distillation Gym
L MIDGLEY
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Articles 1–9