Topic: smartcab Goto Github
Some thing interesting about smartcab
Some thing interesting about smartcab
smartcab,Udacity Machine Learning Nanodegree Project
User: bharatsdev
smartcab,Udacity MLND Project 1
User: bigfatgoalie
smartcab,We apply reinforcement learning techniques for a self-driving agent in a simplified world to aid it in effectively reaching its destinations in the allotted time.
User: cakmakaf
smartcab,Reinforcement learning project for Udacity Machine Learning Nanodegree
User: div3125
smartcab,Q-Learning algorithm is implemented of Reinforcement learning to train a smartcab to drive.
User: er1shivam
Home Page: https://er1shivam.github.io/Smartcab/
smartcab,Applied reinforcement learning to build a simulated vehicle navigation agent. This project involved modeling a complex control problem in terms of limited available inputs, and designing a scheme to automatically learn an optimal driving strategy based on rewards and penalties.
User: hangyao
smartcab,Training an Autonomous Vehicle using Reinforcement Learning. Implements an optimized Q-Learning driving agent that that navigates a Smartcab through its environment towards a goal. The Smartcab agent simulates transporting passengers from one location to another, evaluating two very important metrics: Safety and Reliability.
User: juanerolon
Home Page: https://www.juanrolon.com/reinforcement-learning.html
smartcab,From just cab, to Smart-Cab
User: juzershakir
Home Page: http://nbviewer.jupyter.org/github/JuzerShakir/Train_a_Smartcab/blob/master/report.ipynb
smartcab,Project: Train a Smartcab How to Drive using Reinforcement Learning
User: mmuppidi
smartcab,Teaching a Smartcab to Drive
User: nazanin1369
smartcab,Reinforcement Learning Udacity ML project
User: nishant1005
smartcab,Training a smartcab to drive itself using Reinforcement Learning (Q-Learning) :taxi:
User: noreenmekky
smartcab,In this project i have applied reinforcement learning techniques for a self-driving agent in a simplified world to aid it in effectively reaching its destinations in the allotted time.
User: rajat-dhyani
smartcab,Applied reinforcement learning to build a simulated vehicle navigation agent. This project involved modelling a complex control problem in terms of limited available inputs, and designing a scheme to automatically learn an optimal driving strategy based on rewards and penalties.
User: robertyoung2
smartcab,Applied reinforcement learning to build a simulated vehicle navigation agent. This project involved modeling a complex control problem in terms of limited available inputs, and designing a scheme to automatically learn an optimal driving strategy based on rewards and penalties.
User: shehabsunny
smartcab,Udacity Nanodegree Project 4: Example of reinforcement learning. Training a Smartcab to drive on a rectangular grid.
User: shilpakbanerjee
smartcab,Smartcab is a project which utilizes Reinforcement learning techniques to implement a self driving agent in a simplified world. It uses Q-learning algorithm to guide the agent while tackling the environmental constraints.
User: venka97
smartcab,Reinforced Learning
User: vharavu
smartcab,Projects of Udacity's Machine Learning Specialization Nanodegree program.
User: ymubarak
smartcab,Applied reinforcement learning to design a scheme to automatically learn an optimal driving strategy based on rewards and penalties.
User: zyaj
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