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S8-Honours-Reinforcement_Learning-Mini_Project

MathewJobey · PyTorch

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Overview

Name
S8-Honours-Reinforcement_Learning-Mini_Project
Author
MathewJobey
Framework
PyTorch
License
MIT
Skill type
navigation
Evidence level
untested
Task description
🚀 An interactive Reinforcement Learning agent trained via Soft Actor-Critic (SAC) to execute a propulsive "hoverslam" rocket landing, deployed on a real-time Flask dashboard.

Spaces

Action space
other · 0-dim · 0Hz
Observation space
  • type: other

Links

HuggingFace repo
null
Paper (arXiv)
null

Compatible robots

3+17 mentioned but not in catalog yet
SpotBoston DynamicsT1Booster RoboticsApolloApptronik

Compatible environments

0

No environments list S8-Honours-Reinforcement_Learning-Mini_Project yet.

Datasets that reference this policy

0

No datasets reference S8-Honours-Reinforcement_Learning-Mini_Project yet.