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# gym-random-walk
A minimal example of a custom environment for https://github.com/openai/gym, based on an example in the recordings of David Silver's lectures on Reinforcement Learning at UCL.
(0) - A - B - C - D - E - (+1)
You start off at one of the positions A to E, you can move right or left, reaching the "+1" terminal state gives you a reward of +1, and going all the way "to the left" will give you a terminal reward of 0.
Instead of calling them the above, I just made them the states 0, 1, ...6.