Taxi-V2

This repository contains an implementation of SARSA, SARSA-MAX, and Expected SARSA to solve the Taxi-v2 environment of OpenAI. The result is published here.

Content of this repository

• openai-gym-taxi-v2.ipynb: the jupyter notebook that contains the implementation

Requirements

To run the codes, follow the next steps:

• Create a new environment:
  • Linux or Mac:

   conda create --name taxi_v2 python=3.6
   source activate taxi_v2

  • Windows:

   conda create --name taxi_v2 python=3.6 
   activate taxi_v2

• Perform a minimal install of OpenAI gym

   pip install gym

• Create an IPython kernel for the taxi_v2 environment

	python -m ipykernel install --user --name taxi_v2 --display-name "taxi_v2"

• Start jupyter notebook from the root of this python codes

jupyter notebook

• Once started, change the kernel through the menu Kernel>Change kernel>taxi_v2