Reinforcement

分层强化学习综述：Hierarchical reinforcement learning: A comprehensive survey

论文名称：Hierarchical reinforcement learning: A comprehensive survey 论文发表期刊：ACM Computing Surveys 期刊影响因子：10.282（2022年）论文作者：

Reinforcement Hierarchical learning Survey Comprehensive

admin 3月前

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IntelliLight: a Reinforcement Learning Approach for Intelligent Traffic Light Control 论文阅读

IntelliLight 全文脉络概述1、本文贡献1）Experiments with real traffic data.2）Interpretations of the policy.3&am

论文 learning Approach IntelliLight Reinforcement

admin 4月前

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A Minimalist Approach to Offline Reinforcement Learning[TD3+BC]阅读笔记

A Minimalist Approach to Offline Reinforcement Learning[TD3BC]阅读笔记文章目录A Minimalist Approach to Offline Reinforcement Le

笔记 Offline Approach Minimalist Reinforcement

admin 4月前

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[NIPS2017] A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning 笔记

文章目录前言Background and Related WorkNeural Fictitious Self-PlayPolicy-Space Response OraclesMeta-Strategy SolversDeep Cogni

笔记 GAME Theoretic Unified Reinforcement

admin 4月前

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《A Distributional Perspective on Reinforcement Learning》的理解

近日看一本关于Reinforcement Learning的入门书《Deep Reinforcement Learning Hands On》，甚有收获。该书由PacktPublishing在2018年出版，它不仅介绍了RL的基础理论，而且

perspective Distributional learning Reinforcement

admin 6月前

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A Distributional Perspective on Reinforcement Learning

本文论证了值分布的基本重要性:强化学习智能体收到的随机回报的分布。这与强化学习的常见方法相反，后者对这种回报或价值的期望进行建模。尽管已经建立了研究价值分布的文献体系，但迄今为止&#xff

perspective Distributional learning Reinforcement

admin 6月前

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Human-level control through deep reinforcement learning

Abstract 强化学习理论在动物行为上，深入到心理和神经科学的角度，关于在一个环境中如何使得智能体优化他们的控制，提供了一个正式的规范。为了利用强化学习成功的接近现实世界

control Level human learning Reinforcement

admin 7月前

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深度强化学习综述论文 A Brief Survey of Deep Reinforcement Learning

A Brief Survey of Deep Reinforcement Learning 深度强化学习的简要概述作者： Kai Arulkumaran, Marc Peter Deisenroth, Miles

深度论文 Survey learning Reinforcement

admin 7月前

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Reinforcement Learning with Human in the Loop & Human Feedback

人在环路的强化学习（Reinforcement Learning with Human in the Loop, HIL） 和人类反馈的强化学习（Reinforcement

human learning Reinforcement feedback amp

admin 7月前

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大模型微调实战之 Transformer 强化学习（TRL Reinforcement Learning）（三）Proximal Policy Optimization

大模型微调实战之 Transformer 强化学习（TRL Reinforcement Learning）（三）Proximal Policy Optimization Proximal Policy Optimization 这是一个

实战模型 TRL Transformer Reinforcement

admin 7月前

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Deep Reinforcement Learning + Potential Game + Vehicular Edge Computing

文献 [1] 采用deep reinforcement learning和potential game研究vehicular edge computing场景下的任务卸载和资源优化分配策略文献[2] 采用potential game设计

learning potential deep Reinforcement Edge

admin 2025-1-31

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【论文翻译】A Comprehensive Survey on Safe Reinforcement Learning

本篇译文为方便自己再次阅读而记录，源自Google翻译和CNKI翻译助手。习惯用语保持英文（例：agent），一些细微之处结合自己

论文 Comprehensive Survey learning Reinforcement

admin 2025-1-31

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Reinforcement

Reinforcement

admin 2023-7-1

108 0