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.
☆45Updated 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 5 years ago
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆13Updated 8 months ago
- Soure code for Deep Koopman with Control☆93Updated 3 years ago
- Implementation of Robust Reinforcement Learning using Offline Data [NeurIPS'22]☆23Updated 11 months ago
- ☆14Updated 2 years ago
- Model Predictive Actor-Critic Reinforcement Learning☆66Updated 3 years ago
- Open-source implementation of Deep Lagrangian Networks (DeLaN)☆127Updated 11 months ago
- An MPC algorithm which supports polytopic state and action constraints, using CEM optimisation.☆16Updated 6 years 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
- Repository containing the code for safe reinforcement learning in two custom environments☆45Updated 6 months ago
- PyTorch Implementation of Hamilton-Jacobi DQN☆16Updated 4 years ago
- ☆30Updated 4 years ago
- Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics.☆22Updated 2 years ago
- [NeurIPS 2023] Neural Lyapunov Control for Discrete-Time Systems☆13Updated last year
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆145Updated 2 years ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆42Updated last year
- Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…☆73Updated 2 years ago
- Model-based Control using Koopman Operators☆52Updated 5 years ago
- Related paper: "Experimental Validation of an Actor-Critic Model Predictive Force Controller for Robot-Environment Interaction Tasks"☆21Updated 7 months ago
- Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate☆25Updated last year
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 5 years ago
- ☆42Updated 3 years ago
- ☆63Updated 3 months ago
- Various Control Barrier Functions realized on cartpole.☆25Updated last year
- Safety-aware MPC-based RL framework☆67Updated 11 months ago
- ☆60Updated 10 months ago
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆138Updated 4 years ago
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆36Updated 3 years ago
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆59Updated 2 years ago
- Hands-on tutorial about Meta RL and GP-MPC at the RL4AA'24 workshop.☆15Updated last year