59 citations · 454 across the 124 of their papers we have counts for
Showing 2019 · cs.LGShow all
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cs.LG2019★ 23 cited
Recurrent Attentive Neural Process for Sequential Data
Shenghao Qin, Jiacheng Zhu, Jimmy Qin +2
Neural processes (NPs) learn stochastic processes and predict the distribution of target output adaptively conditioned on a context set of observed input-output pairs. Furthermore,…
cs.LG2019★ 6 cited
CMTS: Conditional Multiple Trajectory Synthesizer for Generating Safety-critical Driving Scenarios
Wenhao Ding, Mengdi Xu, Ding Zhao
Naturalistic driving trajectories are crucial for the performance of autonomous driving algorithms. However, most of the data is collected in safe scenarios leading to the duplicat…
cs.LG2019★ 4 cited
Active Learning for Risk-Sensitive Inverse Reinforcement Learning
Rui Chen, Wenshuo Wang, Zirui Zhao +1
One typical assumption in inverse reinforcement learning (IRL) is that human experts act to optimize the expected utility of a stochastic cost with a fixed distribution. This assum…