johbrust / simulink_gym
Gym Interface Wrapper for Simulink Models
☆16Updated last month
Alternatives and similar repositories for simulink_gym:
Users that are interested in simulink_gym are comparing it to the libraries listed below
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆11Updated last month
- Safe control of unknown dynamic systems with reinforcement learning and model predictive control☆48Updated 5 years ago
- Edge Reinforcement Learning for Motor Control☆13Updated 7 months ago
- Automatic Tuning for Data-driven Model Predictive Control☆62Updated last year
- We learn the dynamics model of a robot using a physics-informed neural network and use it to train a model-based RL algorithm.☆36Updated 9 months ago
- Differentiable predictive control (DPC) policy optimization examples.☆53Updated last year
- Repository containing the code for the paper "Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions". Specifical…☆43Updated 2 years ago
- Use deep learning to learn Koopman operator and LQR for optimal control☆16Updated 4 years ago
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆83Updated 4 years ago
- Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)☆20Updated 2 years ago
- ☆31Updated 6 years ago
- Safety-aware MPC-based RL framework☆54Updated 4 months ago
- The official code for the paper "Task-Oriented Koopman-Based Control with Contrastive Encoder"☆9Updated last year
- ☆18Updated 2 years ago
- heyinUCB / Stability-Analysis-using-Quadratic-Constraints-for-Systems-with-Neural-Network-Controllers☆13Updated 2 years ago
- Physically Consistent Neural Networks☆17Updated last week
- ☆33Updated 7 months ago
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆13Updated 2 years ago
- AlphaHydrogen is an open source OpenAI Gym environment that simulates the energy system of a residential community with distributed renew…☆16Updated 3 years ago
- Enforcing robust control guarantees within neural network policies☆54Updated 3 years ago
- Model-based Reinforcement Learning for Building HVAC Control☆33Updated last year
- Sampling based Model Predictive Control package for Model-Based RL research☆53Updated 4 years ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago
- Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control☆53Updated 2 years ago
- ☆15Updated 2 months ago
- ☆14Updated last year
- Hands-on tutorial about Meta RL and GP-MPC at the RL4AA'24 workshop.☆13Updated 10 months ago
- This is a python repo that implements control barrier function quadratic programming method.☆12Updated 3 years ago
- Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…☆63Updated last year
- Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.☆17Updated 3 months ago