Simulate Taxi rides in the city.
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Updated
Aug 19, 2020 - Java
Simulate Taxi rides in the city.
This is a project of reinforcement learning which contains two different environments. The first environment is the taxi driver problem in 4x4 space with the simple Q-learning update rule. In this task, we compared the performance of the e-greedy policy and Boltzmann policy. As a second environment, we chose the LunarLander from the open gym. Fo…
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