policy
Landing-a-SpaceX-Falcon-heavy-using-Proximal-Policy-Optimization-
Barath19 · PyTorch
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Overview
Name
Landing-a-SpaceX-Falcon-heavy-using-Proximal-Policy-Optimization-
Author
Barath19
Framework
PyTorch
License
Apache-2.0
Skill type
aerial
Evidence level
untested
Task description
Landing a SpaceX Falcon Heavy Rocket in simulation using Reinforcement learning. Reinforcement learning is a technique that lets an agent learn how best to act in an environment using rewards as its signal. OpenAI released a library called Gym that lets us train AI agents really easily. We'll also u
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
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Datasets that reference this policy
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