policy
DeepReinforcementLearning-DDPG-for-RoboticsControl
SHIVOH · PyTorch
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Overview
Name
DeepReinforcementLearning-DDPG-for-RoboticsControl
Author
SHIVOH
Framework
PyTorch
License
MIT
Skill type
other
Evidence level
untested
Task description
This is an implementation of Deep Reinforcement Learning algorithm named Deep determinsitic Policy Gradient (DDPG) to train a 4 DOF robotic Arm to reach the moving target. The action space is continous and the learned agent outputs the torque for the robot to move to the specific target location.
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 DeepReinforcementLearning-DDPG-for-RoboticsControl yet.
Datasets that reference this policy
0No datasets reference DeepReinforcementLearning-DDPG-for-RoboticsControl yet.