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Reinforcement Learning in Robotics

TopicLeading institutions, researchers & key papers

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

What is known about Reinforcement Learning in Robotics?

ScholarIQrecord summary

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?

ScholarIQindexed works

Reinforcement Learning in Robotics has 51 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

What is the OpenAlex record for Reinforcement Learning in Robotics?

ScholarIQopenalex

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

What are the most-cited papers on Reinforcement Learning in Robotics?

ScholarIQmost cited works
Collaborative Robot-Assisted Endovascular Catheterization with Generative Adversarial Imitation Learning
Wenqiang Chi, Giulio Dagnino, Trevor M. Y. Kwok, Anh Nguyen, Dennis Kundrat, Mohamed E. M. K. Abdelaziz, Celia Riga, Colin Bicknell, Guang‐Zhong Yang
2020109 Citations
A game-theoretic model and best-response learning method for ad hoc coordination in multiagent systems
Stefano V. Albrecht, Subramanian Ramamoorthy
arXiv (Cornell University). 201372 CitationsOPEN ACCESS
Human, I wrote a song for you: An experiment testing the influence of machines’ attributes on the AI-composed music evaluation
Joo-Wha Hong, Katrin Fischer, Yul Ha, Yilei Zeng
Computers in Human Behavior. 202262 Citations
First Order Constrained Optimization in Policy Space
Yiming Zhang, Quan Vuong, Keith W. Ross
arXiv (Cornell University). 202052 CitationsOPEN ACCESS
Playing 20 Question Game with Policy-Based Reinforcement Learning
Huang Hu, Xianchao Wu, Bingfeng Luo, Chongyang Tao, Can Xu, Wei Biao Wu, Zhan Chen
201826 CitationsOPEN ACCESS

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

ScholarIQvenues & funding sources

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock

How much of the research on Reinforcement Learning in Robotics is open access?

ScholarIQopen access share
67%OPEN ACCESS
Gold
17%
Green
50%
Hybrid
0%
Bronze
0%
Closed
33%

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