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
