1 citations · 2 across the 3 of their papers we have counts for
4 papers
Residual Visual Credit Optimization: Conserved Evidence Routing for Multimodal Reinforcement Learning
Lin Qiu, Yao Liu, Diyi Hu +6
Reinforcement learning with verifiable rewards scales multimodal reasoning, but an outcome reward says how much a trajectory is worth, not how that value should be spread over the…
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…
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…
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…