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论文笔记:Human-level control through deep reinforcement learning
Human-level control through deep reinforcement learning 论文链接:https:courses.cs.washington.educoursescse571
笔记
论文
human
Level
learning
admin
8月前
103
0
【Nature】Human-like systematic generalization through a meta-learning neural network
文章目录前置知识动机结果MLC架构MLC实施讨论前置知识 quadmeta-learning中,每个epoch包含了若干eposide,每个eposide包含若干个类别的Support Set和
Systematic
generalization
Nature
human
neural
admin
8月前
79
0
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
8月前
89
0
论文理解【RL经典】 —— 【DQN】Human-level control through deep reinforcement learning
标题:Human-level control through deep reinforcement learning文章链接:Human-level control through deep re
经典
论文
DQN
human
RL
admin
8月前
93
0
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
8月前
52
0
基于知识图谱的human-machine conversation
1. 我们提出了基于知识图谱的主动对话任务,让机器像人类一样主动和用户进行对话。referenceProactive Human-Machine Conversation with Explicit Conversat
图谱
知识
human
machine
Conversation
admin
8月前
84
0
【ACL2019】Proactive Human-Machine Conversation with Explicit Conversation Goal
p6 in 20191211 论文名称:Proactive Human-Machine Conversation with Explicit Conversation Goal … … … :让机器有自主意识的和人类对话 论文作者:We
human
Proactive
machine
Goal
explicit
admin
8月前
70
0
《Proactive Human-Machine Conversation with Explicit Conversation Goals》
论文出处:ACL 2019 1. 摘要 论文提出了一种基于知识图谱能主导对话的对话系统,并开源了对应的数据集DuConv。该数据集涉及电影、导演和演员相关题材,包含3w个多轮对话,约27w个句子。每个对话包含一个目标三元组[START,
machine
human
Proactive
Goals
explicit
admin
8月前
57
0
论文-Proactive Human-Machine Conversation with Explicit Conversation Goals
题目:《Proactive Human-Machine Conversation with Explicit Conversation Goals》介绍这是一篇ACL2019的文章,主动对话的
论文
human
Proactive
machine
explicit
admin
8月前
59
0
【Human
human
admin
2024-1-27
49
0
human
human
admin
2023-6-15
67
0