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20182021
most citedOff-Policy Actor-Critic in an Ensemble: Achieving Maximum General Entropy and Effective Environment Exploration in Deep Reinforcement Learning

5 citations · 7 across the 3 of their papers we have counts for

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cs.NE2021★ 1 cited

Niching Diversity Estimation for Multi-modal Multi-objective Optimization

Yiming Peng, Hisao Ishibuchi

Niching is an important and widely used technique in evolutionary multi-objective optimization. Its applications mainly focus on maintaining diversity and avoiding early convergenc…

cs.NE2020★ 1 cited

A Decomposition-based Large-scale Multi-modal Multi-objective Optimization Algorithm

Yiming Peng, Hisao Ishibuchi

A multi-modal multi-objective optimization problem is a special kind of multi-objective optimization problem with multiple Pareto subsets. In this paper, we propose an efficient mu…