Playing Atari with Deep Reinforcement Learning

View details
Paper Library
URL
Date
2013
Review Date
2026/03/08 15:25
Review Type
R
Key Findings
First deep learning model to successfully learn control policies directly from high-dimensional sensory input using reinforcement learning. Introduced Deep Q-Network (DQN) that combines Q-learning with deep neural networks, achieving human-level performance on several Atari games.
Venue
NIPS Deep Learning Workshop
Review Status
In Progress
Field
Reinforcement Learning
Authors
Mnih et al.
Rating
4 - Good
Rating
4 - Good
Authors
Mnih et al.
Date
2013
Review Status
In Progress