policy
RL-Robotic-Arm-Control
Bautistao2 · PyTorch
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Overview
Name
RL-Robotic-Arm-Control
Author
Bautistao2
Framework
PyTorch
License
MIT
Skill type
other
Evidence level
untested
Task description
This project implements a robotic arm control system using Deep Reinforcement Learning. The model is trained using Proximal Policy Optimization (PPO) in a simulated environment built with PyBullet. The goal is to achieve precise target-reaching motions through optimized agent training.
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 yetCompatible environments
0No environments list RL-Robotic-Arm-Control yet.
Datasets that reference this policy
0No datasets reference RL-Robotic-Arm-Control yet.