Jianxun-Wang / PIMBRLLinks
Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control
☆55Updated 3 years ago
Alternatives and similar repositories for PIMBRL
Users that are interested in PIMBRL are comparing it to the libraries listed below
Sorting:
- Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms☆43Updated last year
- Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)☆20Updated 3 years ago
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆13Updated 4 months ago
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆49Updated 3 years ago
- ☆10Updated 4 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆46Updated 4 years ago
- Gym Interface Wrapper for Simulink Models☆18Updated 4 months ago
- An official 're'-implementation of Physics-induced graph neural network: An application to wind-farm power estimation (PGNN).☆28Updated 3 years ago
- Run MPC-based policies and train RL agents in gym-anm environments using implementations from Stable Baselines 3.☆11Updated 2 years ago
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆40Updated 6 years ago
- PyTorch Implementation of Lusch et al DeepKoopman☆13Updated 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.☆42Updated last year
- 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。☆43Updated 4 years ago
- Physically Consistent Neural Networks☆17Updated 3 months ago
- Official implementation for the NeurIPS 2023 paper: "Reduced Policy Optimization for Continuous Control with Hard Constraints"☆38Updated last year
- CityLearn Challenge Multi-Agent Reinforcement Learning for Intelligent Energy Management, 2020, PikaPika team☆27Updated 3 years ago
- Material for the tutorial on "Physics-Informed Machine Learning (PIML) for Modeling and Control of Dynamical Systems" presented at the Am…☆19Updated last year
- Wind farm control reinforcement learning benchmark environment☆17Updated last month
- ☆11Updated 3 weeks ago
- ☆39Updated last year
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆141Updated 2 years ago
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆87Updated 4 years ago
- Code for "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.☆123Updated 4 months ago
- This gym provides implementations of various PDEs for easy testing and comparison of data-driven and classical PDE control algorithms.☆27Updated this week
- ☆15Updated 4 years ago
- Codes for "Quantitative Comparison of Reinforcement Learning and Data-driven Model Predictive Control for Chemical and Biological Process…☆11Updated last year
- Transfer learning in deep reinforcement learning for continuous control. Implemented DDPG and TD3 algorithms and evaluated ability to ada…☆16Updated 4 months ago
- Data-driven Koopman control theory applied to reinforcement learning!☆32Updated last year
- A framework for neural network control of dynamical systems over graphs.☆57Updated 2 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Updated 6 months ago