强化学习算法简介的相关内容

文章 2023-06-02 来自：开发者社区

强化学习基础篇[2]：SARSA、Q-learning算法简介、应用举例、优缺点分析

强化学习基础篇[2]：SARSA、Q-learning算法简介、应用举例、优缺点分析 1.SARSA SARSA（State-Action-Reward-State-Action）是一个学习马尔可夫决策过程策略的算法，通常应用于机器学习和强化学习学习领域中。它由Rummery 和 Niranjan在技术论文“Modified Connect...

文章 2022-12-20 来自：开发者社区

Actor-Critic：强化学习中的参与者-评价者算法简介

Actor-Critic从名字上看包括两部分，参与者(Actor)和评价者(Critic)。其中Actor使用策略函数，负责生成动作(Action)并和环境交互。而Critic使用我们之前讲到了的价值函数，负责评估Actor的表现，并指导Actor下一阶段的动作。基于策略和基于价值的RL算法在基于策略的RL中，最优策略是通过直...

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更新时间 2024-04-30 18:19:37

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