David L. Leottau

Computer Science · Physical Sciences

5h-index101citations9works0.02yr avg
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Research Topics

Reinforcement Learning in Robotics(8), Robot Manipulation and Learning(3), Robotic Locomotion and Control(3), Evolutionary Algorithms and Applications(2), Modular Robots and Swarm Intelligence(2)

Publications9 total

LIDAR-based odometry estimation for autonomous loading of material with LHD
2020· 1 cited
Accelerating decentralized reinforcement learning of complex individual behaviors
Engineering Applications of Artificial Intelligence·2019· 6 citedOpen Access
Toward Real-Time Decentralized Reinforcement Learning Using Finite Support Basis Functions
Lecture notes in computer science·2018· 4 cited
Decentralized Reinforcement Learning of Robot Behaviors
Artificial Intelligence·2017· 55 citedOpen Access
Toward Real-Time Decentralized Reinforcement Learning using Finite Support Basis Functions
arXiv (Cornell University)·2017Open Access
Toward Real-Time Decentralized Reinforcement Learning using Finite\n Support Basis Functions
arXiv (Cornell University)·2017Open Access
Decentralized Reinforcement Learning Applied to Mobile Robots
Lecture notes in computer science·2017· 8 citedOpen Access
A Study of Layered Learning Strategies Applied to Individual Behaviors in Robot Soccer
Lecture notes in computer science·2015· 20 citedOpen Access
An Accelerated Approach to Decentralized Reinforcement Learning of the Ball-Dribbling Behavior.
National Conference on Artificial Intelligence·2015· 7 cited

Frequent Co-authors

Javier Ruiz‐del‐Solar(9), Kenzo Lobos-Tsunekawa(4), Robert Babuška(2), Patrick MacAlpine(1), Peter Stone(1), Aashish Vatsyayan(1), Francisco Jaramillo(1), Patricio Loncomilla(1), Mauricio Mascaró(1), Carlos Tampier(1)