Laurence Illing Midgley

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 6

Top Topics

Reinforcement Learning

Importance Sampling

Markov Chain Monte Carlo

Particle Filtering

Top Venues

Publications

Clément Bonnet, Daniel Luo, Donal Byrne, Shikha Surana, Sasha Abramowitz, Paul Duckworth, Vincent Coyette, Laurence Illing Midgley, Elshadai Tegegn, Tristan Kalloniatis, Omayma Mahjoub, Matthew Macfarlane, Andries P. Smit, Nathan Grinsztajn, Raphaël Boige, Cemlyn N. Waters, Mohamed A. Mimouni, Ulrich A. Mbou Sob, Ruan de Kock, Siddarth Singh, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, Alexandre Laterre
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. ICLR (2024)
Laurence Illing Midgley, Vincent Stimper, Gregor N. C. Simm, Bernhard Schölkopf, José Miguel Hernández-Lobato
Flow Annealed Importance Sampling Bootstrap. ICLR (2023)
Laurence Illing Midgley, Vincent Stimper, Gregor N. C. Simm, Bernhard Schölkopf, José Miguel Hernández-Lobato
Flow Annealed Importance Sampling Bootstrap. CoRR (2022)
Stephan C. P. A. van Kalmthout, Laurence Illing Midgley, Meik B. Franke
Synthesis of separation processes with reinforcement learning. CoRR (2022)
Laurence Illing Midgley, Vincent Stimper, Gregor N. C. Simm, José Miguel Hernández-Lobato
Bootstrap Your Flow. CoRR (2021)
Laurence Illing Midgley
Deep Reinforcement Learning for Process Synthesis. CoRR (2020)