MaximilianB2 / pc-gym
Reinforcement learning environments for process control applications.
☆43Updated this week
Alternatives and similar repositories for pc-gym:
Users that are interested in pc-gym are comparing it to the libraries listed below
- Multiobjective black-box optimization using gradient-boosted trees☆56Updated last month
- Neural ODEs as Feedback Policies for Nonlinear Optimal Control (IFAC 2023) https://doi.org/10.1016/j.ifacol.2023.10.1248☆16Updated last year
- With this package, you can generate mixed-integer linear programming (MIP) models of trained artificial neural networks (ANNs) using the …☆60Updated 3 years ago
- Reinforcement learning for batch bioprocess optimization (Computers & Chemical Engineering, 2020)☆12Updated 2 years ago
- ☆37Updated last year
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆26Updated 2 years ago
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆15Updated last year
- A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax☆26Updated this week
- Official implementation of the paper “Limeade: Let integer molecular encoding aid”☆30Updated 2 months ago
- Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions☆25Updated 2 months ago
- Modeling robust optimization problems in Pyomo☆83Updated 2 years ago
- ☆11Updated 11 months ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆134Updated last year
- Material for the tutorial on "Physics-Informed Machine Learning (PIML) for Modeling and Control of Dynamical Systems" presented at the Am…☆18Updated 10 months ago
- Mathematical Programming in JAX☆58Updated 2 weeks ago
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆22Updated 4 years ago
- GLIS package☆24Updated last year
- Data-driven dynamical systems toolbox.☆72Updated this week
- A PyTorch library for all things nonlinear control and reinforcement learning.☆44Updated 3 years ago
- [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations☆102Updated last year
- Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control☆49Updated 2 years ago
- Python library for parallel multiobjective simulation optimization☆76Updated 5 months ago
- An end-to-end framework for mixed-integer optimization with data-driven learned constraints.☆119Updated last year
- A study of reinforcement learning algorithms for fed-batch bioprocessesing☆14Updated 4 years ago
- This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).☆97Updated 4 years ago
- Deep reinforcement learning for design of chemical engineering processes☆30Updated last year
- Master thesis spring 2019. Template to be futher used by the department of chemical engineering at NTNU,☆33Updated last year
- AI for Intelligent Energy Systems Workshop is a three day workshop hosted by TU Delft DAI Lab. The workshop focuses on the applications o…☆15Updated 8 months ago
- A testbed of simulation-optimization problems and solvers☆63Updated last week
- Code for "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.☆107Updated 2 weeks ago