منابع مشابه
RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning
Deep reinforcement learning (deep RL) has been successful in learning sophisticated behaviors automatically; however, the learning process requires a huge number of trials. In contrast, animals can learn new tasks in just a few trials, benefiting from their prior knowledge about the world. This paper seeks to bridge this gap. Rather than designing a “fast” reinforcement learning algorithm, we p...
متن کاملRl: Fast Reinforcement Learning via Slow Reinforcement Learning
Deep reinforcement learning (deep RL) has been successful in learning sophisticated behaviors automatically; however, the learning process requires a huge number of trials. In contrast, animals can learn new tasks in just a few trials, benefiting from their prior knowledge about the world. This paper seeks to bridge this gap. Rather than designing a “fast” reinforcement learning algorithm, we p...
متن کاملLearning Fast and Slow
We propose two distinct levels of learning for general autonomous intelligent agents. Level 1 consists of fixed architectural learning mechanisms that are innate and automatic. Level 2 consists of deliberate learning strategies that are controlled by the agent’s knowledge. We describe these levels and provide an example of their use in a task-learning agent. We also explore other potential leve...
متن کاملFast and Slow Learning From Reviews∗
This paper develops a model of Bayesian learning from online reviews, and investigates the conditions for asymptotic learning of the quality of a product and the speed of learning under different rating systems. A rating system provides information about reviews left by previous customers. A sequence of potential customers decide whether to join the platform. After joining and observing the rat...
متن کاملFast and Stable Learning in Direct-Vision-Based Reinforcement Learning
Direct-Vision-Based Reinforcement Learning has been proposed not only for the motion planning but for the learning of the whole process from sensors to motors in robots, including recognition, attention and so on. In this learning, raw visual sensory signals are put into a layered neural network directly, and the network is trained by the training signals generated based on reinforcement learni...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Trends in Cognitive Sciences
سال: 2019
ISSN: 1364-6613
DOI: 10.1016/j.tics.2019.02.006