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.
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.
Content for Udacity's Machine Learning curriculum
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.
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.
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.
Udacity Nanodegree Project 4: Example of reinforcement learning. Training a Smartcab to drive on a rectangular grid.
Training a smartcab to drive itself using Reinforcement Learning (Q-Learning) 🚕
Q-Learning algorithm is implemented of Reinforcement learning to train a smartcab to drive.
Project: Train a Smartcab How to Drive using Reinforcement Learning
Used Q-learning to train a driving agent to learn an optimal policy in a 2D environment
From just cab, to Smart-Cab
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.
Applied reinforcement learning to design a scheme to automatically learn an optimal driving strategy based on rewards and penalties.
Projects of Udacity's Machine Learning Specialization Nanodegree program.
Reinforcement Learning Udacity ML project
Reinforced Learning
Content for Udacity's Machine Learning curriculum
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