Deep Reinforcement Learning pp 185-191 | Cite as
DDPG in Code
Coding the DDPG Using High-Level Wrapper Libraries
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Abstract
In this chapter, we will code the Deep Deterministic Policy Gradient algorithm and apply it for continuous action control tasks as in the Gym’s Mountain Car Continuous environment. We use the Keras-RL high-reinforcement learning wrapper library for a simplified and succinct implementation.
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© Springer Nature Singapore Pte Ltd. 2019