Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Observational Learning01:12

Observational Learning

210
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
210
Purposive Learning01:22

Purposive Learning

142
E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
142
Cognitive Learning01:21

Cognitive Learning

424
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
424
Introduction to Learning01:18

Introduction to Learning

472
Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
472
Associative Learning01:27

Associative Learning

444
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
444
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

1.8K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
1.8K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Multiple endocrine neoplasia type 1: atypical presentation, clinical course, and genetic analysis of multiple tumors.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc·1999
Same author

Effect of N-acetylcysteine on UVB-induced apoptosis and DNA repair in human and mouse keratinocytes.

Photochemistry and photobiology·1999
Same author

[Effect of pathogen-stimulated human CD4+ T cells on gamma delta T cells].

Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae·1999
Same author

[Assessment of nutrition in dialysis patients and chronic uremic patients].

Zhonghua nei ke za zhi·1999
Same author

[Clinical evaluation and immunomodulatory study of cefodizime].

Zhonghua nei ke za zhi·1999
Same author

[Effects of high frequency jet ventilation on respiratory airflow and gas exchange in dogs with inhalation injury].

Zhonghua zheng xing shao shang wai ke za zhi = Zhonghua zheng xing shao shang waikf [i.e. waike] zazhi = Chinese journal of plastic surgery and burns·1999

相关实验视频

Updated: Jul 20, 2025

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
05:41

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

Published on: February 6, 2020

9.5K

在深度强化学习中学习意图意识的政策

T Zhao1, S Wu1, G Li1

  • 1College of Artificial Intelligence, Tianjin University of Science and Technology, Tianjin 300457, P.R.C. tingting@tust.edu.cn.

Neural computation
|July 31, 2023
PubMed
概括

本研究介绍了深度强化学习 (DRL) 代理人的意图意识政策学习. 新方法允许代理商将类似人类的意图纳入他们的决策,以提高控制能力.

更多相关视频

Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task
11:18

Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task

Published on: June 1, 2015

10.7K
The Double-H Maze: A Robust Behavioral Test for Learning and Memory in Rodents
09:01

The Double-H Maze: A Robust Behavioral Test for Learning and Memory in Rodents

Published on: July 8, 2015

12.6K

相关实验视频

Last Updated: Jul 20, 2025

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
05:41

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

Published on: February 6, 2020

9.5K
Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task
11:18

Quantifying Learning in Young Infants: Tracking Leg Actions During a Discovery-learning Task

Published on: June 1, 2015

10.7K
The Double-H Maze: A Robust Behavioral Test for Learning and Memory in Rodents
09:01

The Double-H Maze: A Robust Behavioral Test for Learning and Memory in Rodents

Published on: July 8, 2015

12.6K

科学领域:

  • 人工智能的人工智能
  • 机器学习 机器学习
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 深度强化学习 (DRL) 代理优化基于状态,内存和参数的策略.
  • 人类决策过程中包含的意图 (如速度) 超出了传统的DRL因素.

研究的目的:

  • 为DRL代理人开发一种意图意识的政策学习方法.
  • 使代理人能够选择包含特定意图的行动,模仿人类行为.

主要方法:

  • 通过将意向信息整合到政策模型中,正式制定了意向意识政策.
  • 通过最大化累积奖励和意图和行动之间的相互信息 (MI) 来优化政策.
  • 推导出MI目标的高效近似,用于实际实施.

主要成果:

  • 在控制任务中证明了意图意识政策的有效性.
  • 在经典的MuJoCo和多目标链路步行任务中展示了改进的代理性能.

结论:

  • 拟议的意图意识政策学习方法提高了DRL代理人的决策能力.
  • 结合意图使代理人的行为更像人,更适应.