Abstract
In this chapter, we will cover the Deterministic Policy-Gradient algorithm (DPG), with the underlying Deterministic Policy-Gradient Theorems that empower the underlying mathematics. We would also cover the Deep Deterministic Policy-Gradient (DDPG) algorithm, which is a combination of the DQN and the DPG and brings the deep learning enhancement to the DPG algorithm. This chapter leads us to a more practical and modern approach for empowering reinforcement learning agents for continuous-action control.
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Sewak, M. (2019). Deterministic Policy Gradient and the DDPG. In: Deep Reinforcement Learning. Springer, Singapore. https://doi.org/10.1007/978-981-13-8285-7_13
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DOI: https://doi.org/10.1007/978-981-13-8285-7_13
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Publisher Name: Springer, Singapore
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Online ISBN: 978-981-13-8285-7
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