14 citations · 22 across the 4 of their papers we have counts for
4 papers
MatrixWorld: A pursuit-evasion platform for safe multi-agent coordination and autocurricula
Lijun Sun, Yu-Cheng Chang, Chao Lyu +2
Multi-agent reinforcement learning (MARL) achieves encouraging performance in solving complex tasks. However, the safety of MARL policies is one critical concern that impedes their…
Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations
Qiqi Duan, Chang Shao, Guochen Zhou +3
Given the ubiquity of non-separable optimization problems in real worlds, in this paper we analyze and extend the large-scale version of the well-known cooperative coevolution (CC)…
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization
Qiqi Duan, Guochen Zhou, Chang Shao +7
In this paper, we present an open-source pure-Python library called PyPop7 for black-box optimization (BBO). As population-based methods (e.g., evolutionary algorithms, swarm intel…
Toward multi-target self-organizing pursuit in a partially observable Markov game
Lijun Sun, Yu-Cheng Chang, Chao Lyu +3
The multiple-target self-organizing pursuit (SOP) problem has wide applications and has been considered a challenging self-organization game for distributed systems, in which intel…