GitHub - saisriramyerubandi/Reinforcement-Learning: The aim of the project is to perform Q-learning on a historical stock price for Nvidia for the last 5 years dataset which is reinforcement learning. I have trained the agent by using temporal difference and performed Q - Learning . I was able to successfully construct a Q -Table at the end of training . I Used this Q-table to evaluate the algorithm by considering the initial capital 100000 and Total account value at the end. We can see that we ended up in profits and we can say that our algorithm is good

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The aim of the project is to perform Q-learning on a historical stock price for Nvidia for the last 5 years dataset which is reinforcement learning. I have trained the agent by using temporal difference and performed Q - Learning . I was able to successfully construct a Q -Table at the end of training . I Used this Q-table to evaluate the algori…