97 citations · 297 across the 11 of their papers we have counts for
Showing 2020Show all
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cs.NE2020★ 20 cited
Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated Search
Hu Zhang, Peng Yang, Yanglong Yu +2
Evolutionary algorithms (EAs) have been successfully applied to optimize the policies for Reinforcement Learning (RL) tasks due to their exploration ability. The recently proposed…
cs.NE2020★ 5 cited
Few-shots Parallel Algorithm Portfolio Construction via Co-evolution
Ke Tang, Shengcai Liu, Peng Yang +1
Generalization, i.e., the ability of solving problem instances that are not available during the system design and development phase, is a critical goal for intelligent systems. A…