Smart Taxi using Q-Learning | Reinforcement Learning
In this video we will build and test our first Q-learning agent, a smartcab (smart car), using the Taxi-v3 environment from the OpenAI Gym package in Python.
Visit: https://gym.openai.com/
Q-Learning (Conceptual + Math) : • Q-Learning | Reinforcement Learning
Your agent is a self-driving taxicab whose job it is to collect passengers from a starting location and drop them off at their desired destination in the fewest steps possible. The taxi collects a reward when it drops off a passenger and gets penalties for taking other actions.
Gym provides the environment with all available states and actions and the attributes and functions you will need to use, and you provide the Q-learning algorithm that finds the optimal solution to the task. #SmartTaxi #OpenAI #QLearning
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𝓕𝓸𝓵𝓵𝓸𝔀 𝓶𝓮 𝓸𝓷 𝓘𝓷𝓼𝓽𝓪𝓰𝓻𝓪𝓶 👉 / adhyapakh
𝓥𝓲𝓼𝓲𝓽 𝓶𝔂 𝓟𝓻𝓸𝓯𝓲𝓵𝓮 👉 / reng99
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𝓢𝓾𝓹𝓹𝓸𝓻𝓽 𝓶𝔂 𝔀𝓸𝓻𝓴 𝓸𝓷 𝓟𝓪𝓽𝓻𝓮𝓸𝓷 👉 / ranjiraj
𝓖𝓲𝓽𝓗𝓾𝓫👉 https://github.com/ranjiGT
