79 citations · 229 across the 12 of their papers we have counts for
Showing 2019Show all
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cs.RO2019★ 18 cited
Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping
Cristian Bodnar, Adrian Li, Karol Hausman +2
The distributional perspective on reinforcement learning (RL) has given rise to a series of successful Q-learning algorithms, resulting in state-of-the-art performance in arcade ga…
cs.LG2019★ 79 cited
Proximal Distilled Evolutionary Reinforcement Learning
Cristian Bodnar, Ben Day, Pietro Lió
Reinforcement Learning (RL) has achieved impressive performance in many complex environments due to the integration with Deep Neural Networks (DNNs). At the same time, Genetic Algo…