通过通过种子图匹配进行跨领域的知识转移来增强强化学习
IEEE transactions on neural networks and learning systems
|September 25, 2025
概括
本研究介绍了跨域转移强化学习 (TRL) 的种子图匹配,使得在没有严格假设的情况下,在具有不同状态动作空间的RL任务之间进行知识转移. 这种新的方法有效地提高了目标任务的性能.
科学领域:
- 人工智能的人工智能
- 机器学习 机器学习
- 强化学习是一种强化学习.
背景情况:
- 转移强化学习 (TRL) 通过重复使用相关任务的知识来提高代理人的效率.
- 现有的跨域TRL方法由于对状态空间关系的严格假设而面临限制.
- 在TRL中弥合不同的状态和行动空间仍然是一个重大挑战.
研究的目的:
- 为跨领域的TRL提出一种新的,可通用的方法.
- 为了使各种状态和行动空间的强化学习 (RL) 任务之间进行知识转移.
- 克服依赖于强有力的先前假设的先前方法的局限性.
主要方法:
- 模拟RL任务作为指向图.
- 使用种子图匹配来对准源和目标任务,而不考虑状态-动作空间差异.
- 开发基于政策的转移算法,利用任务对齐来提高目标RL性能.
主要成果:
- 种子图匹配的证明有效性,用于对齐不同的RL任务.
- 通过拟议的基于政策的转移算法,在目标RL任务中显著提高性能.
- 在不同状态动作空间的离散和连续控制任务中验证.
结论:
- 拟议的种子图匹配方法为跨域TRL提供了更普遍的解决方案.
- 这种方法有效地促进了在具有异质状态-动作空间的RL任务间的知识传输.
- 该方法显示强有力的经验验证,推进转移强化学习领域.
相关概念视频
Associative Learning
1.2K
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...
Classical conditioning, also known...
1.2K
Observational Learning
838
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...
838
Generalization, Discrimination, and Extinction
1.3K
Generalization, discrimination, and extinction are key concepts in operant conditioning that influence how behaviors are learned and maintained.
Generalization occurs when a behavior reinforced in one context is performed in similar situations. For instance, a student who studies diligently for calculus and receives excellent grades might apply the same study habits to psychology and history, expecting similar results. Generalization shows how learning in one setting can influence behavior in...
Generalization occurs when a behavior reinforced in one context is performed in similar situations. For instance, a student who studies diligently for calculus and receives excellent grades might apply the same study habits to psychology and history, expecting similar results. Generalization shows how learning in one setting can influence behavior in...
1.3K
Reinforcement
839
Positive and negative reinforcement are key concepts in operant conditioning, a learning process where the consequences of a behavior affect the likelihood of that behavior being repeated.
Positive reinforcement occurs when a behavior is followed by the presentation of a rewarding stimulus, increasing the frequency of that behavior. For example:
Positive reinforcement occurs when a behavior is followed by the presentation of a rewarding stimulus, increasing the frequency of that behavior. For example:
839
Collisions in Multiple Dimensions: Problem Solving
5.3K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
5.3K
Cognitive Learning
1.0K
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...
1.0K


