Titlebook: Deep Reinforcement Learning; Fundamentals, Resear Hao Dong,Zihan Ding,Shanghang Zhang Book 2020 Springer Nature Singapore Pte Ltd. 2020 Dee

excursion

Learning to Runoth continuous, which is a moderately large-scale environment for novices to gain some experiences. We provide a soft actor-critic solution for the task, as well as some tricks applied for boosting performances. The environment and code are available at ..

有毛就脱毛

Nomadic

Nausea

紧张过度

发怨言

珊瑚

Hierarchical Reinforcement Learning algorithms in these categories, including strategic attentive writer, option-critic, and feudal networks, etc. Finally, we provide a summary of recent works on hierarchical reinforcement learning at the end of this chapter.

overwrought

Preußen im deutschen Föderalismustion learning can either be regarded as an initialization or a guidance for training the agent in the scope of reinforcement learning. Combination of imitation learning and reinforcement learning is a promising direction for efficient learning and faster policy optimization in practice.

plasma

Fsh238