Training Neural Networks For Event Based End To End Robot Control
TUM Master’s thesis: Steering a robot with an event-based vision sensor in a lane-keeping task using methods such as Deep Reinforcement Learning or Spiking Neural Networks.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| High_mpc | 186 | 2 years ago | 2 | C | ||||||
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| Qlearningrobocodenn | 34 | 8 years ago | 3 | Java | ||||||
| Trains a robot in a robocode using Q-learning and Neural Networks | ||||||||||
| Training Neural Networks For Event Based End To End Robot Control | 33 | 6 years ago | gpl-3.0 | Python | ||||||
| TUM Master’s thesis: Steering a robot with an event-based vision sensor in a lane-keeping task using methods such as Deep Reinforcement Learning or Spiking Neural Networks. | ||||||||||
| Localization | 30 | 2 years ago | 2 | bsd-2-clause | C++ | |||||
| Robot localization with deep learning | ||||||||||
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| Neurobots | 20 | 13 years ago | gpl-3.0 | JavaScript | ||||||
| This program simulates small robots, each one is controlled by a recurrent artificial neural network. | ||||||||||
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