Abstract
In this chapter, we will cover the basics of the policy-based approaches especially the policy gradient-based approaches. We will understand why policy-based approaches are superior to that of value-based approaches under some circumstances and why they are also tough to implement. We will subsequently cover some simplifications that will help make policy-based approaches practical to implement and also cover the REINFORCE algorithm.
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© 2019 Springer Nature Singapore Pte Ltd.
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Sewak, M. (2019). Policy-Based Reinforcement Learning Approaches. In: Deep Reinforcement Learning. Springer, Singapore. https://doi.org/10.1007/978-981-13-8285-7_10
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DOI: https://doi.org/10.1007/978-981-13-8285-7_10
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Publisher Name: Springer, Singapore
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Online ISBN: 978-981-13-8285-7
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