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A Python application that makes use of Q-Learning algorithm to solve the Automated Taxi-Driver Problem for Self-Driving Cars. The agent makes use of Reinforcement Learning and updates the Q-Table to learn the environment. After the learning is done, the agent (taxi) pick-ups the customer and drops the customer to appropriate destination.

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shubham-hadawle/Reinforcement-Learning-Automated-Taxi-Driver-Problem-using-Q-Learning-Algorithm

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Reinforcement-Learning-Automated-Taxi-Driver-Problem-using-Q-Learning-Algorithm

A Python application that makes use of Q-Learning algorithm to solve the Automated Taxi-Driver Problem for Self-Driving Cars. The agent makes use of Reinforcement Learning and updates the Q-Table to learn the environment. After the learning is done, the agent (taxi) pick-ups the customer and drops the customer to appropriate destination.

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A Python application that makes use of Q-Learning algorithm to solve the Automated Taxi-Driver Problem for Self-Driving Cars. The agent makes use of Reinforcement Learning and updates the Q-Table to learn the environment. After the learning is done, the agent (taxi) pick-ups the customer and drops the customer to appropriate destination.

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