mail-ecnu / Reinforcement-Learning-and-Optimal-ControlLinks
☆80Updated 6 years ago
Alternatives and similar repositories for Reinforcement-Learning-and-Optimal-Control
Users that are interested in Reinforcement-Learning-and-Optimal-Control are comparing it to the libraries listed below
Sorting:
- ☆58Updated 4 years ago
- Model Predictive Actor-Critic Reinforcement Learning☆70Updated 4 years ago
- 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
- Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…☆71Updated 3 years ago
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆90Updated 5 years ago
- Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates☆76Updated 2 years ago
- Differential Dynamic Programming controller operating in OpenAI Gym environment.☆87Updated 5 years ago
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆144Updated 4 years ago
- Repository containing the code for safe reinforcement learning in two custom environments☆46Updated 10 months ago
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆59Updated 2 years ago
- ☆66Updated last year
- Inverse Reinforcement Learning, Inverse Optimal Control, Apprenticeship Learning, Imitation Learning review☆46Updated 4 years ago
- ☆43Updated 3 years ago
- The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.☆51Updated 7 years ago
- ☆50Updated last year
- ☆31Updated 4 years ago
- Sampling based Model Predictive Control package for Model-Based RL research☆57Updated 5 years ago
- Toolkit for learning controllers based on robust control Lyapunov barrier functions☆180Updated last year
- A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, contr…☆182Updated 2 years ago
- ☆14Updated 2 years ago
- ☆159Updated 6 years ago
- ☆73Updated 5 years ago
- PyTorch Official Implementation of CoRL 2023 Paper: Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-a…☆36Updated last year
- The reimplementation of Model Predictive Path Integral (MPPI) from the paper "Information Theoretic MPC for Model-Based Reinforcement Lea…☆104Updated 6 months ago
- A framework and method to jointly learn a (neural) control objective function and a time-warping function only from sparse demonstrations…☆23Updated 3 years ago
- ☆86Updated 9 months ago
- Code accompanying "Value Functions are Control Barrier Functions: Verification of Safe Policies using Control Theory"☆32Updated last year
- Learning Certified Control Using Contraction Metric (CoRL 2020)☆34Updated 3 years ago
- A simple 1d simulator for the "Neural-Lander" paper, ICRA 2019☆19Updated 2 years ago
- Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.☆174Updated 8 months ago