A Brief Survey of Deep Reinforcement Learning
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Abstract
Deep reinforcement learning is poised to revolutionise the field of AI and represents a step towards building autonomous systems with a higher level understanding of the visual world. Currently, deep learning is enabling reinforcement learning to scale to problems that were previously intractable, such as learning to play video games directly from pixels. Deep reinforcement learning algorithms are also applied to robotics, allowing control policies for robots to be learned directly from camera inputs in the real world. In this survey, we begin with an introduction to the general field of reinforcement learning, then progress to the main streams of value-based and policy-based methods. Our survey will cover…
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Keywords
- Reinforcement learning
- Artificial intelligence
- Deep learning
- Computer science
- Field (mathematics)
- Robotics
- Artificial neural network
- Machine learning
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