玷污 发表于 2025-3-25 05:57:52

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AFFIX 发表于 2025-3-25 09:58:45

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FLIRT 发表于 2025-3-25 12:29:41

A3C in Code,ine the actor-critic model using the Sub-Classing and eager execution functionality of Keras. Both the master and worker agents use this model. The asynchronous workers are implemented as different threads, syncing with the master after every few steps or completion of their respective episodes.

infatuation 发表于 2025-3-25 17:02:58

,Industriefeuerungen — Abwärmeverwertung,In this chapter, we would put what we have learnt on Q-Learning in the last chapter in code. We would implement a Q-Table-based Off-Policy Q-Learning agent class, and to complement with a behavior policy, we would implement another class on Behavior Policy with an implementation of the epsilon-greedy algorithm.

去世 发表于 2025-3-25 20:13:03

Deutschunterricht auf dem PrüfstandIn 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.

flaunt 发表于 2025-3-26 03:53:59

Q-Learning in Code,In this chapter, we would put what we have learnt on Q-Learning in the last chapter in code. We would implement a Q-Table-based Off-Policy Q-Learning agent class, and to complement with a behavior policy, we would implement another class on Behavior Policy with an implementation of the epsilon-greedy algorithm.

conquer 发表于 2025-3-26 07:07:22

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Silent-Ischemia 发表于 2025-3-26 08:36:31

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西瓜 发表于 2025-3-26 13:26:51

978-981-13-8287-1Springer Nature Singapore Pte Ltd. 2019

overhaul 发表于 2025-3-26 19:29:27

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查看完整版本: Titlebook: Deep Reinforcement Learning; Frontiers of Artific Mohit Sewak Book 2019 Springer Nature Singapore Pte Ltd. 2019 Reinforcement Learning.Deep