Laurence Illing Midgley

According to our database, Laurence Illing Midgley authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX.

Clément Bonnet, Daniel Luo, Donal Byrne, Shikha Surana, Vincent Coyette, Paul Duckworth, Laurence I. Midgley, Tristan Kalloniatis, Sasha Abramowitz, Cemlyn N. Waters, Andries P. Smit, Nathan Grinsztajn, Ulrich A. Mbou Sob, Omayma Mahjoub, Elshadai Tegegn, Mohamed A. Mimouni, Raphaël Boige, Ruan de Kock, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, Alexandre Laterre

CoRR, 2023

SE(3) Equivariant Augmented Coupling Flows.

Laurence I. Midgley, Vincent Stimper, Javier Antorán, Emile Mathieu, Bernhard Schölkopf, José Miguel Hernández-Lobato

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Flow Annealed Importance Sampling Bootstrap.

Laurence Illing Midgley, Vincent Stimper, Gregor N. C. Simm, Bernhard Schölkopf, José Miguel Hernández-Lobato

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function.

Clément Bonnet, Laurence I. Midgley, Alexandre Laterre

CoRR, 2022

Synthesis of separation processes with reinforcement learning.

Stephan C. P. A. van Kalmthout, Laurence Illing Midgley, Meik B. Franke

CoRR, 2022

2021

Bootstrap Your Flow.

Laurence Illing Midgley, Vincent Stimper, Gregor N. C. Simm, José Miguel Hernández-Lobato

CoRR, 2021

2020

Deep Reinforcement Learning for Process Synthesis.

Laurence Illing Midgley

CoRR, 2020