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arXiv · 1709.09069

MDP environments for the OpenAI Gym

Andreas Kirsch
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Abstract

The OpenAI Gym provides researchers and enthusiasts with simple to use environments for reinforcement learning. Even the simplest environment have a level of complexity that can obfuscate the inner workings of RL approaches and make debugging difficult. This whitepaper describes a Python framework that makes it very easy to create simple Markov-Decision-Process environments programmatically by specifying state transitions and rewards of deterministic and non-deterministic MDPs in a domain-specific language in Python. It then presents results and visualizations created with this MDP framework.

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Andreas Kirsch. 2017-09-26. MDP environments for the OpenAI Gym. https://arxiv.org/abs/1709.09069

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