概括
本研究介绍了一种强大的深度强化学习 (DRL) 算法,用于具有未知变化点的非静止环境. 该方法快速适应DRL代理的动态条件,在积累奖励和环境适应方面表现优于替代品.
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) 在静止环境中表现出色.
- 在机器人和建议等现实应用中常见的非静止环境,由于动态的变化,对DRL的稳定性和稳定性构成重大挑战.
- 现有的解决方案往往需要对环境变化点的预先了解,但这往往是无法获得的.
研究的目的:
- 开发一个强大的DRL算法,能够在非静止环境中有效运行,而无需事先了解变化点.
- 为了使DRL代理能够快速稳定地适应动态的环境变化.
主要方法:
- 一个新的DRL算法,通过监控状态和动作的联合分布来积极检测环境变化点.
- 实现一个检测增强,梯度受约束的优化技术.
- 利用以前培训的政策和经验来加速适应新的环境条件.
主要成果:
- 与几种替代方法相比,拟议的算法获得了最高的累积奖励.
- 该方法在过渡到新环境时显示出最快的适应速度.
- 实验验证证了算法在处理未知的环境变化方面的有效性.
结论:
- 开发的DRL算法为具有未知的变化点的非静止环境提供了强大的解决方案.
- 这种方法显著提高了无人机,自动驾驶汽车和水下机器人等智能代理的环境适应性和适应性.
相关概念视频
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Positive reinforcement is a powerful method for teaching new behaviors to both animals and humans. B.F. Skinner demonstrated this with his experiments using rats in a Skinner box. When a rat pressed a lever, it received a food pellet. This immediate reward encouraged the rat to repeat the behavior. This method, where a reward follows every instance of the behavior, is known as continuous reinforcement. It is highly effective for establishing new behaviors quickly.
Once a behavior is learned,...
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Real-World Application of Classical Conditioning
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Generalization, Discrimination, and Extinction
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Purposive Learning
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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...
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Cognitive Learning
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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...
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...
243
Introduction to Learning
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In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
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