Pinned Repositories
casadi
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
deus
Design under Uncertainty using Sampling techniques
Lutein-Dataset
Dataset for a fed-batch lutein photo-production process. From the paper 'Safe Chance Constrained Reinforcement Learning for Batch Process Control' (available at: https://arxiv.org/abs/2104.11706)
Lutein_DO
Repository for dynamic optimisation in Casadi with 1 finite element and IPOPT solver
mawbray.github.io
MC-rollouts
Code base for MC sampling of a process model
Reinforcement-Learning-for-Bioprocesses
A study of reinforcement learning algorithms for fed-batch bioprocessesing
pc-gym
Reinforcement learning environments for process control applications.
deus
Design under Uncertainty using Sampling techniques
mawbray's Repositories
mawbray/Reinforcement-Learning-for-Bioprocesses
A study of reinforcement learning algorithms for fed-batch bioprocessesing
mawbray/MC-rollouts
Code base for MC sampling of a process model
mawbray/Lutein_DO
Repository for dynamic optimisation in Casadi with 1 finite element and IPOPT solver
mawbray/deus
Design under Uncertainty using Sampling techniques
mawbray/Lutein-Dataset
Dataset for a fed-batch lutein photo-production process. From the paper 'Safe Chance Constrained Reinforcement Learning for Batch Process Control' (available at: https://arxiv.org/abs/2104.11706)
mawbray/mawbray.github.io