liuzuxin / MPC_template-model_predictive_control_for_reinforcement_learning
Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment
☆80Updated 4 years ago
Alternatives and similar repositories for MPC_template-model_predictive_control_for_reinforcement_learning:
Users that are interested in MPC_template-model_predictive_control_for_reinforcement_learning are comparing it to the libraries listed below
- Safe control of unknown dynamic systems with reinforcement learning and model predictive control☆46Updated 5 years ago
- Sampling based Model Predictive Control package for Model-Based RL research☆51Updated 4 years ago
- Repository containing the code for the paper "Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions". Specifical…☆43Updated 2 years ago
- Safety-aware MPC-based RL framework☆51Updated 2 months ago
- Model-Free Safe Reinforcement Learning through Neural Barrier Certificate☆32Updated 9 months ago
- ☆26Updated 2 years ago
- Safe Exploration with MPC and Gaussian process models☆90Updated 4 years ago
- ☆142Updated 5 years ago
- The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.☆47Updated 6 years ago
- ☆64Updated 2 years ago
- CDC2024_submission_repository☆29Updated 6 months ago
- This repository contains the code for our paper on Dynamic Mirror Descent based MPC for Model-Free RL☆23Updated 3 years ago
- Model Predictive Actor-Critic Reinforcement Learning☆57Updated 3 years ago
- Thrid-party safety-gym safe exploration environments for autonomous driving. Also environment used for IROS 2021 paper: Model-based Const…☆32Updated 3 years ago
- ☆19Updated 2 years ago
- Toolkit for learning controllers based on robust control Lyapunov barrier functions☆146Updated 7 months ago
- LiqunZhao / A-Barrier-Lyapunov-Actor-Critic-Reinforcement-Learning-Approach-for-Safe-and-Stable-Control☆25Updated last year
- Implementation of MPC-PEARL☆13Updated 7 months ago
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆34Updated 2 years ago
- Inverse Reinforcement Learning, Inverse Optimal Control, Apprenticeship Learning, Imitation Learning review☆40Updated 3 years ago
- Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning☆29Updated 6 years ago
- Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates☆72Updated last year
- ☆70Updated 4 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆134Updated last year
- 这是一个关于基于模型的强化学习的资料，包括一些代码地址、paper、slide等。☆40Updated 4 years ago
- This repository contains two new algorithms: KPIRL and KLA. KPIRL is a non-linear extension to Abbeel and Ng's Projection IRL algorithm (…☆8Updated 2 years ago
- Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…☆61Updated last year
- We use reachability to ensure the safety of a decision agent acting on a dynamic system in real-time. We compute the Forward Reachable Se…☆32Updated 3 years ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆68Updated 5 years ago
- Using RL based controller for steering function of RRT. And a network learns to perform motion planning☆31Updated 4 years ago