policy

REINFORCEMENT-LEARNING-BASED-CONTROL-FOR-MOTOR-AND-TANK-DYNAMICS

MadhavSrinath22 · PyTorch

or hover any field below to flag it

Overview

Name
REINFORCEMENT-LEARNING-BASED-CONTROL-FOR-MOTOR-AND-TANK-DYNAMICS
Author
MadhavSrinath22
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
Project on RL-based control of DC servomotor position, DC motor speed, and single-tank system using MATLAB. Includes system modeling, reward design, and RL implementation, compared with traditional control methods for stability, convergence, and performance evaluation.

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 REINFORCEMENT-LEARNING-BASED-CONTROL-FOR-MOTOR-AND-TANK-DYNAMICS yet.

Datasets that reference this policy

0

No datasets reference REINFORCEMENT-LEARNING-BASED-CONTROL-FOR-MOTOR-AND-TANK-DYNAMICS yet.