5 citations · 5 across the 4 of their papers we have counts for
5 papers
Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning
Yuchen Xiao, Weihao Tan, Christopher Amato
Synchronizing decisions across multiple agents in realistic settings is problematic since it requires agents to wait for other agents to terminate and communicate about termination…
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…
Adaptive directional Haar tight framelets on bounded domains for digraph signal representations
Yuchen Xiao, Xiaosheng Zhuang
Based on hierarchical partitions, we provide the construction of Haar-type tight framelets on any compact set . In particular, on the unit block ,…
Learning Multi-Robot Decentralized Macro-Action-Based Policies via a Centralized Q-Net
Yuchen Xiao, Joshua Hoffman, Tian Xia +1
In many real-world multi-robot tasks, high-quality solutions often require a team of robots to perform asynchronous actions under decentralized control. Decentralized multi-agent r…
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…