Jianxun-Wang / PIMBRLLinks
Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control
☆57Updated 3 years ago
Alternatives and similar repositories for PIMBRL
Users that are interested in PIMBRL are comparing it to the libraries listed below
Sorting:
- Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)☆20Updated 3 years ago
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆51Updated 3 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆48Updated 4 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆144Updated 2 years ago
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆41Updated 6 years ago
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆13Updated 7 months ago
- Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms☆46Updated last year
- Run MPC-based policies and train RL agents in gym-anm environments using implementations from Stable Baselines 3.☆12Updated 2 years ago
- A framework for neural network control of dynamical systems over graphs.☆57Updated 2 years ago
- A precocial reinforcement learning solution for HVAC control☆55Updated 4 years ago
- Data-driven Koopman control theory applied to reinforcement learning!☆33Updated 2 years ago
- ☆12Updated last month
- Physics Informed Deep Learning for Traffic State Estimation: Illustrations with LWR and CTM Models☆16Updated 2 years ago
- We learn the dynamics model of a robot using a physics-informed neural network and use it to train a model-based RL algorithm.☆44Updated last year
- Master thesis spring 2019. Template to be futher used by the department of chemical engineering at NTNU,☆35Updated last year
- Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics.☆21Updated 2 years ago
- PyTorch Implementation of Lusch et al DeepKoopman☆14Updated 2 years ago
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆83Updated 6 years ago
- ☆40Updated 2 years ago
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"☆54Updated last year
- Physically Consistent Neural Networks☆18Updated 5 months ago
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆88Updated 5 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆78Updated last year
- Material for the tutorial on "Physics-Informed Machine Learning (PIML) for Modeling and Control of Dynamical Systems" presented at the Am…☆19Updated last year
- Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs class…☆88Updated 6 years ago
- Use deep learning to learn Koopman operator and LQR for optimal control☆16Updated 4 years ago
- A Learning-based Energy Management Framework and Benchmark for Electric Vehicles☆39Updated last year
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆45Updated 9 months ago
- 这是一个关于基于模型的强化学习的资料，包括一些代码地址、paper、slide等。☆44Updated 5 years ago
- Code for "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.☆129Updated this week