3 citations · 4 across the 8 of their papers we have counts for
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cs.MA2023
Privacy-Engineered Value Decomposition Networks for Cooperative Multi-Agent Reinforcement Learning
Parham Gohari, Matthew Hale, Ufuk Topcu
In cooperative multi-agent reinforcement learning (Co-MARL), a team of agents must jointly optimize the team's long-term rewards to learn a designated task. Optimizing rewards as a…
cs.MA2023★ 3 cited
Differential Privacy in Cooperative Multiagent Planning
Bo Chen, Calvin Hawkins, Mustafa O. Karabag +3
Privacy-aware multiagent systems must protect agents' sensitive data while simultaneously ensuring that agents accomplish their shared objectives. Towards this goal, we propose a f…