Adrian Taylor
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126
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Crypto×1AI×1ML×1Multiagent×1
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2026
Learning Communication Between Heterogeneous Agents in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence
This paper demonstrates that using a communication algorithm (CommFormer) with heterogeneous agents significantly improves the speed and performance of multi-agent reinforcement learning for autonomous cyber defense in simulated network environments.
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