aravindsrinivas / neural-mpcLinks
☆73Updated 4 years ago
Alternatives and similar repositories for neural-mpc
Users that are interested in neural-mpc are comparing it to the libraries listed below
Sorting:
- Safe Exploration with MPC and Gaussian process models☆89Updated 4 years ago
- Model Predictive Actor-Critic Reinforcement Learning☆63Updated 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
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Working directory for dynamics learning for experimental robots.☆57Updated 4 years ago
- Differential Dynamic Programming controller operating in OpenAI Gym environment.☆87Updated 5 years ago
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆69Updated 5 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☆54Updated 4 years ago
- A curated list of awesome Model-based reinforcement learning resources☆94Updated 4 years ago
- The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.☆48Updated 6 years ago
- Formulating Model-based RL Dynamics as a continuous rather then one step prediction☆35Updated 2 years ago
- ☆99Updated 2 years ago
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆58Updated last year
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆39Updated 2 years ago
- Enforcing robust control guarantees within neural network policies☆53Updated 4 years ago
- The reimplementation of Model Predictive Path Integral (MPPI) from the paper "Information Theoretic MPC for Model-Based Reinforcement Lea…☆98Updated 5 years ago
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆134Updated 4 years ago
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆39Updated last year
- Pytorch Implementation of SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning, ICRA 2021☆49Updated 4 years ago
- [IROS 22'] Model-free Neural Lyapunov Control☆23Updated 2 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Implementations of SAILR, PDO, and CSC☆31Updated 11 months ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆141Updated 2 years ago
- Trajectory optimization algorithms for robotic control.☆110Updated 2 years ago
- Residual policy learning☆66Updated 6 years ago
- Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gr…☆37Updated 6 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆56Updated 6 years ago
- Model-based reinforcement learning in TensorFlow☆56Updated 3 years ago
- Cross Entropy Method implemented in pytorch☆38Updated 3 years ago