adi3e08 / Physics_Informed_Model_Based_RLLinks
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
Alternatives and similar repositories for Physics_Informed_Model_Based_RL
Users that are interested in Physics_Informed_Model_Based_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
- Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]☆24Updated 9 months ago
- Open-source implementation of Deep Lagrangian Networks (DeLaN)☆120Updated 9 months ago
- ☆14Updated 2 years ago
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆13Updated 6 months ago
- Soure code for Deep Koopman with Control☆89Updated 3 years ago
- ☆28Updated 3 years ago
- Model Predictive Actor-Critic Reinforcement Learning☆64Updated 3 years ago
- Repository containing the code for safe reinforcement learning in two custom environments☆45Updated 4 months ago
- An MPC algorithm which supports polytopic state and action constraints, using CEM optimisation.☆16Updated 5 years ago
- Code for "Dynamics Harmonics Analysis of Robotic Systems: Application in Data-Driven Koopman Modeling", enabling the modeling of symmetri…☆13Updated 5 months ago
- [NeurIPS 2023] Neural Lyapunov Control for Discrete-Time Systems☆12Updated last year
- Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics.☆21Updated last year
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆88Updated 5 years ago
- Code for Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations☆18Updated 3 years ago
- Safety-aware MPC-based RL framework☆65Updated 9 months ago
- Related paper: "Experimental Validation of an Actor-Critic Model Predictive Force Controller for Robot-Environment Interaction Tasks"☆19Updated 4 months ago
- ☆58Updated 8 months ago
- Lyapunov-stable Neural Control for State and Output Feedback☆73Updated last year
- Model-based Control using Koopman Operators☆51Updated 5 years ago
- LiqunZhao / A-Barrier-Lyapunov-Actor-Critic-Reinforcement-Learning-Approach-for-Safe-and-Stable-Control☆32Updated last year
- ☆40Updated 2 years ago
- [ICLR 2025] Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.☆62Updated last week
- Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…☆71Updated 2 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆144Updated 2 years ago
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆37Updated 3 years ago
- This is the code implementation of the Neural ordinary differential equations-based Lyapunov-Barrier Actor-Critic (NLBAC)☆13Updated 11 months ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆40Updated last year
- Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate☆23Updated last year
- Various Control Barrier Functions realized on cartpole.☆24Updated last year