Pdbz199 / koopman-rl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
☆9Updated this week
Related projects ⓘ
Alternatives and complementary repositories for koopman-rl
- An MPC algorithm which supports polytopic state and action constraints, using CEM optimisation.☆13Updated 5 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.☆29Updated 5 months ago
- Use deep learning to learn Koopman operator and LQR for optimal control☆15Updated 4 years ago
- Pytorch implementation of Model Predictive Control with learned models☆28Updated 4 years ago
- Model-based Control using Koopman Operators☆46Updated 4 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆42Updated 4 years ago
- Model Predictive Actor-Critic Reinforcement Learning☆52Updated 2 years ago
- Cross Entropy Method implemented in pytorch☆36Updated 2 years ago
- PyTorch Implementation of Hamilton-Jacobi DQN☆14Updated 3 years ago
- Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics.☆20Updated last year
- Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]☆22Updated last week
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆30Updated 6 months ago
- ☆25Updated 3 years ago
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆77Updated 4 years ago
- Automatic Tuning for Data-driven Model Predictive Control☆58Updated last year
- Safety-aware MPC-based RL framework☆47Updated this week
- Code for the paper "Deep Model Predictive Optimization"☆22Updated last year
- Repository containing the code for the paper "Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions". Specifical…☆39Updated 2 years ago
- Soure code for Deep Koopman with Control☆67Updated 2 years ago
- This is the code repository for the DuSt-MPC paper, published at Robotics: Science and Systems (RSS) 2021.☆21Updated 3 years ago
- Sampling based Model Predictive Control package for Model-Based RL research☆51Updated 4 years ago
- Formulating Model-based RL Dynamics as a continuous rather then one step prediction☆35Updated 2 years ago
- LiqunZhao / A-Barrier-Lyapunov-Actor-Critic-Reinforcement-Learning-Approach-for-Safe-and-Stable-Control☆19Updated 9 months ago
- Code for Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations☆17Updated 2 years ago
- Neural Koopman Lyapunov Control☆20Updated last year
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"☆47Updated 11 months ago
- ☆67Updated 4 years ago
- Enforcing robust control guarantees within neural network policies☆53Updated 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…☆57Updated last year
- Safe Exploration with MPC and Gaussian process models☆89Updated 4 years ago