policy

Indoor-Navigation-Using-RL

rishika-deshmukh · PyTorch

or hover any field below to flag it

Overview

Name
Indoor-Navigation-Using-RL
Author
rishika-deshmukh
Framework
PyTorch
License
unknown
Skill type
navigation
Evidence level
untested
Task description
Developed a vision-based indoor navigation system using Reinforcement Learning where an agent learns navigation directly from raw RGB camera observations. Built a PyBullet + Gymnasium simulation and trained a CNN-based policy using Proximal Policy Optimization (PPO) to map visual inputs to navigatio

Spaces

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

Links

HuggingFace repo
null
Paper (arXiv)
null

Compatible robots

20

Compatible environments

0

No environments list Indoor-Navigation-Using-RL yet.

Datasets that reference this policy

0

No datasets reference Indoor-Navigation-Using-RL yet.