SimonRennotte / Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control
Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments
☆134Updated last year
Alternatives and similar repositories for Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control:
Users that are interested in Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control are comparing it to the libraries listed below
- Safe Exploration with MPC and Gaussian process models☆90Updated 4 years ago
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆130Updated 3 years ago
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆80Updated 4 years ago
- ☆70Updated 4 years ago
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 4 years ago
- Sampling based Model Predictive Control package for Model-Based RL research☆53Updated 4 years ago
- A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, contr…☆170Updated last year
- The reimplementation of Model Predictive Path Integral (MPPI) from the paper "Information Theoretic MPC for Model-Based Reinforcement Lea…☆94Updated 5 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆64Updated last year
- Model-based Control using Koopman Operators☆51Updated 4 years ago
- Soure code for Deep Koopman with Control☆71Updated 2 years ago
- A toolbox for trajectory optimization of dynamical systems☆53Updated 2 years ago
- ☆68Updated 6 years ago
- Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates☆73Updated 2 years ago
- Code for "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.☆111Updated last month
- Formulating Model-based RL Dynamics as a continuous rather then one step prediction☆35Updated 2 years ago
- Enforcing robust control guarantees within neural network policies☆54Updated 3 years ago
- Safe reinforcement learning with stability guarantees☆231Updated 3 years ago
- Working directory for dynamics learning for experimental robots.☆56Updated 3 years ago
- MPC with Gaussian Process☆209Updated 5 years ago
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"☆50Updated last year
- Model Predictive Actor-Critic Reinforcement Learning☆59Updated 3 years ago
- Automatic Tuning for Data-driven Model Predictive Control☆62Updated last year
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆69Updated 4 years ago
- Adaptive control-oriented meta-learning for nonlinear systems☆60Updated 3 years ago
- Repository containing the code for the paper "Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions". Specifical…☆42Updated 2 years ago
- Data-driven Koopman control theory applied to reinforcement learning!☆31Updated last year
- Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.☆151Updated last week
- Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…☆70Updated 2 years ago
- ☆266Updated 2 years ago