36 citations · 55 across the 14 of their papers we have counts for
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cs.AI2024
On Centralized Critics in Multi-Agent Reinforcement Learning
Xueguang Lyu, Andrea Baisero, Yuchen Xiao +2
Centralized Training for Decentralized Execution where agents are trained offline in a centralized fashion and execute online in a decentralized manner, has become a popular approa…
cs.AI2022
Macro-Action-Based Multi-Agent/Robot Deep Reinforcement Learning under Partial Observability
Yuchen Xiao
The state-of-the-art multi-agent reinforcement learning (MARL) methods have provided promising solutions to a variety of complex problems. Yet, these methods all assume that agents…
cs.AI2017
Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems
Trong Nghia Hoang, Yuchen Xiao, Kavinayan Sivakumar +2
A key challenge in multi-robot and multi-agent systems is generating solutions that are robust to other self-interested or even adversarial parties who actively try to prevent the…