30 citations · 215 across the 39 of their papers we have counts for
Showing 2020 · cs.ROShow all
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cs.RO2020★ 5 cited
Learning Agile Locomotion via Adversarial Training
Yujin Tang, Jie Tan, Tatsuya Harada
Developing controllers for agile locomotion is a long-standing challenge for legged robots. Reinforcement learning (RL) and Evolution Strategy (ES) hold the promise of automating t…
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…