303 citations · 533 across the 92 of their papers we have counts for
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cs.LG2019★ 12 cited
Learning Fairness in Multi-Agent Systems
Jiechuan Jiang, Zongqing Lu
Fairness is essential for human society, contributing to stability and productivity. Similarly, fairness is also the key for many multi-agent systems. Taking fairness into multi-ag…
cs.LG2019
Generative Exploration and Exploitation
Jiechuan Jiang, Zongqing Lu
Sparse reward is one of the biggest challenges in reinforcement learning (RL). In this paper, we propose a novel method called Generative Exploration and Exploitation (GENE) to ove…