policy
ppo-cnn-drone-navigation
elinaRosato · PyTorch
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Overview
Name
ppo-cnn-drone-navigation
Author
elinaRosato
Framework
PyTorch
License
MIT
Skill type
navigation
Evidence level
untested
Task description
Deep Reinforcement Learning for autonomous navigation using Proximal Policy Optimization (PPO) with CNN. Trains agents to navigate from point A to B while avoiding collisions using visual observations. Topics: reinforcement-learning, deep-learning, ppo, autonomous-navigation, cnn, computer-vision, p
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
0+20 mentioned but not in catalog yetNo robots list ppo-cnn-drone-navigation as compatible yet. Know of one? Flag it above.
Compatible environments
0No environments list ppo-cnn-drone-navigation yet.
Datasets that reference this policy
0No datasets reference ppo-cnn-drone-navigation yet.