Imitation Learning
نویسندگان
چکیده
منابع مشابه
Relational Learning by Imitation
Imitative learning can be considered an essential task of humans development. People use instructions and demonstrations provided by other human experts to acquire knowledge. In order to make an agent capable of learning through demonstrations, we propose a relational framework for learning by imitation. Demonstrations and domain specific knowledge are compactly represented by a logical languag...
متن کاملState Aware Imitation Learning
Imitation learning is the study of learning how to act given a set of demonstrations provided by a human expert. It is intuitively apparent that learning to take optimal actions is a simpler undertaking in situations that are similar to the ones shown by the teacher. However, imitation learning approaches do not tend to use this insight directly. In this paper, we introduce State Aware Imitatio...
متن کاملImitation in Reinforcement Learning
The promise of imitation is to facilitate learning by allowing the learner to observe a teacher in action. Ideally this will lead to faster learning when the expert knows an optimal policy. Imitating a suboptimal teacher may slow learning, but it should not prevent the student from surpassing the teacher’s performance in the long run. Several researchers have looked at imitation in the context ...
متن کاملThird-Person Imitation Learning
Reinforcement learning (RL) makes it possible to train agents capable of achieving sophisticated goals in complex and uncertain environments. A key difficulty in reinforcement learning is specifying a reward function for the agent to optimize. Traditionally, imitation learning in RL has been used to overcome this problem. Unfortunately, hitherto imitation learning methods tend to require that d...
متن کاملALS Seminar - Imitation Learning
Machine Learning is an important tool for developing complex systems. In particular, Reinforcement Learning has been successfull in learning robot behavior. However, it can be difficult to define appropriate reward functions. Especially in robotics, one has to deal with high dimensionality in the state/action space. Imitation of experts is a fundamental part of learning in nature. Imitation, in...
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ژورنال
عنوان ژورنال: ACM Computing Surveys
سال: 2017
ISSN: 0360-0300,1557-7341
DOI: 10.1145/3054912