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cs.RO2020
Point Cloud Based Reinforcement Learning for Sim-to-Real and Partial Observability in Visual Navigation
Kenzo Lobos-Tsunekawa, Tatsuya Harada
Reinforcement Learning (RL), among other learning-based methods, represents powerful tools to solve complex robotic tasks (e.g., actuation, manipulation, navigation, etc.), with th…
cs.RO2017
Toward Real-Time Decentralized Reinforcement Learning using Finite Support Basis Functions
Kenzo Lobos-Tsunekawa, David L. Leottau, Javier Ruiz-del-Solar
This paper addresses the design and implementation of complex Reinforcement Learning (RL) behaviors where multi-dimensional action spaces are involved, as well as the need to execu…