Reinforcement Learning in Robotics

Reinforcement Learning in Robotics is a topic indexed in ScholarIQ from OpenAlex.

What is known about 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.

How many works does Reinforcement Learning in Robotics have?

Reinforcement Learning in Robotics has 61,453 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

How many citations does Reinforcement Learning in Robotics have?

Reinforcement Learning in Robotics has 769,187 citations in the OpenAlex counts ScholarIQ stores.

What is the OpenAlex record for Reinforcement Learning in Robotics?

The OpenAlex for Reinforcement Learning in Robotics is on the source record.

Who are the most-cited researchers behind Reinforcement Learning in Robotics?

Where is Reinforcement Learning in Robotics research published, and who funds it?