Deep Reinforcement Learning pp 89-94 | Cite as
Implementation Resources
Training Environments and Agent Implementation Libraries
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Abstract
In this chapter, we will discuss some of the resources available for building one’s own reinforcement learning agent easily, or implementing one with the least amount of code. We will also cover some standardized environment, platforms, and community boards against which one can evaluate their custom agent’s performances on different types of reinforcement learning tasks and challenges.
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© Springer Nature Singapore Pte Ltd. 2019