policy
Indoor-Navigation-Using-RL
rishika-deshmukh · PyTorch
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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
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Compatible environments
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Datasets that reference this policy
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