1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Wireless Communication Enhanced Value Decomposition for Multi-Agent Reinforcement Learning
Diyi Hu, Bhaskar Krishnamachari
Cooperation in multi-agent reinforcement learning (MARL) benefits from inter-agent communication, yet most approaches assume idealized channels and existing value decomposition met…
cs.AI2022★ 1 cited
Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning
Diyi Hu, Chi Zhang, Viktor Prasanna +1
In Multi-Agent Reinforcement Learning, communication is critical to encourage cooperation among agents. Communication in realistic wireless networks can be highly unreliable due to…
cs.DC2021★ 1 cited
Design and Experimental Evaluation of Algorithms for Optimizing the Throughput of Dispersed Computing
Xiangchen Zhao, Diyi Hu, Bhaskar Krishnamachari
With growing deployment of Internet of Things (IoT) and machine learning (ML) applications, which need to leverage computation on edge and cloud resources, it is important to devel…