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Physical Sciences → Computer Science → Artificial Intelligence

Reinforcement Learning in Robotics

This cluster of papers encompasses a wide range of advancements in reinforcement learning algorithms and their applications, including deep learning, neural networks, robotics, autonomous control, policy gradient methods, multi-agent systems, model-based learning, curiosity-driven exploration, and simulation to real-world transfer.

59.7K works worldwide763.3K citations
Reinforcement LearningDeep LearningNeural NetworksRoboticsAutonomous ControlPolicy GradientMulti-Agent SystemsModel-Based LearningCuriosity-Driven ExplorationSimulation to Real-world Transfer

Journals publishing in this area

1Neural Networks cover
Neural Networks
ISSN 0893-6080264 articles in this topic
246h-index
2
Machine Learning
ISSN 0885-6125211 articles in this topic
260h-index