policy

Drone-Falco-Reinforcement-Learning

Matteo7100 · PyTorch

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Overview

Name
Drone-Falco-Reinforcement-Learning
Author
Matteo7100
Framework
PyTorch
License
unknown
Skill type
aerial
Evidence level
untested
Task description
Reinforcement Learning (RL) project designed to train an agent to control a quadcopter (drone). The project utilizes a custom environment to simulate the physics and dynamics of the "Falco" drone using PyBullet and trains a PPO (Proximal Policy Optimization) agent using PyTorch.

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

Compatible environments

0

No environments list Drone-Falco-Reinforcement-Learning yet.

Datasets that reference this policy

0

No datasets reference Drone-Falco-Reinforcement-Learning yet.