https://github.com/clamesc/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.
https://github.com/clamesc/Training-Neural-Networks-for-Event-Based-End-to-End-Robot-Control

deep-reinforcement-learning dynamic-vision-sensing event-driven linux nest python ros spiking-neural-networks tensorflow v-rep

Last synced: about 2 months ago
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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.

• Host: GitHub
• URL: https://github.com/clamesc/Training-Neural-Networks-for-Event-Based-End-to-End-Robot-Control
• Owner: clamesc
• License: gpl-3.0
• Created: 2017-11-07T13:36:25.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-01-09T18:00:43.000Z (over 6 years ago)
• Last Synced: 2024-05-02T18:08:20.822Z (5 months ago)
• Topics: deep-reinforcement-learning, dynamic-vision-sensing, event-driven, linux, nest, python, ros, spiking-neural-networks, tensorflow, v-rep
• Language: Python
• Homepage:
• Size: 56.1 MB
• Stars: 50
• Watchers: 7
• Forks: 20
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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