49 citations · 98 across the 5 of their papers we have counts for
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cs.LG2017★ 1 cited
Unlocking the Potential of Simulators: Design with RL in Mind
Rika Antonova, Silvia Cruciani
Using Reinforcement Learning (RL) in simulation to construct policies useful in real life is challenging. This is often attributed to the sequential decision making aspect: inaccur…
cs.RO2017★ 35 cited
Reinforcement Learning for Pivoting Task
Rika Antonova, Silvia Cruciani, Christian Smith +1
In this work we propose an approach to learn a robust policy for solving the pivoting task. Recently, several model-free continuous control algorithms were shown to learn successfu…