most citedBoosting Value Decomposition via Unit-Wise Attentive State Representation for Cooperative Multi-Agent Reinforcement Learning

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

cs.NE2023

BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization

Junyi Wang, Yuanyang Zhu, Zhi Wang +3

Evolutionary reinforcement learning (ERL) algorithms recently raise attention in tackling complex reinforcement learning (RL) problems due to high parallelism, while they are prone…

cs.MA2023★ 2 cited

Boosting Value Decomposition via Unit-Wise Attentive State Representation for Cooperative Multi-Agent Reinforcement Learning

Qingpeng Zhao, Yuanyang Zhu, Zichuan Liu +2

In cooperative multi-agent reinforcement learning (MARL), the environmental stochasticity and uncertainties will increase exponentially when the number of agents increases, which p…