PrototypeCommon
wanxinjin/Pontryagin-Differentiable-Programming
A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
- Owner
- wanxinjin (personal account)
- Stars
- Stars: 190
- Forks
- Forks: 25
- Language
- Python
- License
- MIT
- Created
- 2020
- Topics
- differentiable-programmingend-to-end-learninginverse-reinforcement-learninglearning-controltrajectory-optimizationmotion-planningoptimal-controlsystem-identificationcontrol-systemsdynamical-systems
- Tier
- Prototype (100 to 249 ★) What this tier means
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