Juan P. Garrahan

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 7

Top Topics

Reinforcement Learning

Sampling Strategies

Markov Decision Process

Large Deviations

Top Venues

Mach. Learn. Sci. Technol.

Publications

Jamie F. Mair, Luke Causer, Juan P. Garrahan
Minibatch training of neural network ensembles via trajectory sampling. CoRR (2023)
Jamie F. Mair, Dominic C. Rose, Juan P. Garrahan
Training neural network ensembles via trajectory sampling. CoRR (2022)
Edward Gillman, Dominic C. Rose, Juan P. Garrahan
Reinforcement Learning with Tensor Networks: Application to Dynamical Large Deviations. CoRR (2022)
Avishek Das, Dominic C. Rose, Juan P. Garrahan, David T. Limmer
Reinforcement learning of rare diffusive dynamics. CoRR (2021)
Edward Gillman, Dominic C. Rose, Juan P. Garrahan
A Tensor Network Approach to Finite Markov Decision Processes. CoRR (2020)
Tom H. E. Oakes, Adam Moss, Juan P. Garrahan
A deep learning functional estimator of optimal dynamics for sampling large deviations. Mach. Learn. Sci. Technol. 1 (3) (2020)
Dominic C. Rose, Jamie F. Mair, Juan P. Garrahan
A reinforcement learning approach to rare trajectory sampling. CoRR (2020)