Pdbz199 / koopman-rlLinks
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
☆13Updated 5 months ago
Alternatives and similar repositories for koopman-rl
Users that are interested in koopman-rl are comparing it to the libraries listed below
Sorting:
- Use deep learning to learn Koopman operator and LQR for optimal control☆16Updated 4 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆46Updated 4 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆141Updated 2 years ago
- The official code for the paper "Task-Oriented Koopman-Based Control with Contrastive Encoder"☆9Updated last year
- Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]☆24Updated 8 months 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
- Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control☆56Updated 3 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
- Model-based Control using Koopman Operators☆51Updated 5 years ago
- Repository containing the code for safe reinforcement learning in two custom environments☆45Updated 3 months ago
- ☆72Updated 7 years ago
- Safe control of unknown dynamic systems with reinforcement learning and model predictive control☆48Updated 6 years ago
- Soure code for Deep Koopman with Control☆87Updated 3 years ago
- Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics.☆21Updated last year
- Repository for Koopman based learning and nonlinear control☆45Updated 2 years ago
- [NeurIPS 2023] Neural Lyapunov Control for Discrete-Time Systems☆12Updated 11 months ago
- ☆28Updated 3 years ago
- This repository contains all the supplementary material associated to the paper with title "Physics-Informed Multi-Agent Reinforcement Le…☆13Updated last month
- An MPC algorithm which supports polytopic state and action constraints, using CEM optimisation.☆16Updated 5 years ago
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 4 years ago
- Model Predictive Actor-Critic Reinforcement Learning☆64Updated 3 years ago
- Adaptive control-oriented meta-learning for nonlinear systems☆64Updated 4 years ago
- Safety-aware MPC-based RL framework☆63Updated 7 months ago
- Data-driven Koopman control theory applied to reinforcement learning!☆33Updated last year
- LiqunZhao / A-Barrier-Lyapunov-Actor-Critic-Reinforcement-Learning-Approach-for-Safe-and-Stable-Control☆32Updated last year
- Enforcing robust control guarantees within neural network policies☆54Updated 4 years ago
- Risk-sensitive Inverse Reinforcement Learning☆10Updated 5 years ago
- This is a python repo that implements control barrier function quadratic programming method.☆14Updated 3 years ago
- Continuous-time system identification with neural networks☆25Updated this week
- Automatic Tuning for Data-driven Model Predictive Control☆67Updated 2 years ago