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Zhicheng An

2 accepted papers

2022

BNU: A Balance-Normalization-Uncertainty Model for Incremental Event Detection

ICASSP 2022accepted

Event detection is challenging in real-world application since new events continually occur and old events still exist which may result in repeated labeling for old events. Therefore, incremental event detection is essential where a model continuously learns new events and meanwhile prevents perform…

Cited by 0SourceScholar
2021

Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation

ICRA 2021poster

Model-based deep reinforcement learning has achieved success in various domains that require high sample efficiencies, such as Go and robotics. However, there are some remaining issues, such as planning efficient explorations to learn more accurate dynamic models, evaluating the uncertainty of the l…

Cited by 29SourcecodeScholar