7.8k citations · 12.8k across the 52 of their papers we have counts for
Showing 2019 · cs.ROShow all
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cs.RO2019★ 45 cited
Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning
Sandy H. Huang, Martina Zambelli, Jackie Kay +4
Robots must know how to be gentle when they need to interact with fragile objects, or when the robot itself is prone to wear and tear. We propose an approach that enables deep rein…
cs.RO2019★ 30 cited
Value constrained model-free continuous control
Steven Bohez, Abbas Abdolmaleki, Michael Neunert +3
The naive application of Reinforcement Learning algorithms to continuous control problems -- such as locomotion and manipulation -- often results in policies which rely on high-amp…