https://github.com/yashbansod/cmsc_818b_decision_making_in_robotics

Python implementation of projects for Decision making in robotics
https://github.com/yashbansod/cmsc_818b_decision_making_in_robotics

decision-making gaussian-processes neural-network planning python q-learning reinforcement-learning robotics tsp

Last synced: 14 days ago
JSON representation

Python implementation of projects for Decision making in robotics

• Host: GitHub
• URL: https://github.com/yashbansod/cmsc_818b_decision_making_in_robotics
• Owner: YashBansod
• License: mit
• Created: 2020-06-17T19:29:11.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2022-11-21T22:36:09.000Z (almost 2 years ago)
• Last Synced: 2023-03-04T12:49:15.035Z (over 1 year ago)
• Topics: decision-making, gaussian-processes, neural-network, planning, python, q-learning, reinforcement-learning, robotics, tsp
• Language: Python
• Size: 2.38 MB
• Stars: 5
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# CMSC_818B_Decision_Making_in_Robotics

Python implementation of projects for Decision making in robotics

## Project Contents

### [Approx_Algo_Metric_TSP](./Approx_Algo_Metric_TSP/)

Python Implementation of MST based 2-approximation algorithm for solving Metric TSP 

  


## [Gaussian_Processes](./Gaussian_Processes/)

Python Implementation of Gaussian Process Regression using Scikit Learn

   

  


## [Q_learning](./Q_learning/)

Python implementation of Q-learning using Neural Networks

Solved Mountain Car Problem:  

   


Policy Visualization for Problem 1 (Unmodified Reward) (Experiment 2 in writeup):  

   


Policy Visualization for Problem 1 (Unmodified Reward) (Experiment 1 in writeup):  

   


---