A multi-expert action-advice method plus a blockchain model marketplace speeds up multi-agent reinforcement learning under sparse rewards and tolerates faulty experts.
IoT sensor selection for target localization: A reinforcement learning based approach,
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Blockchain-assisted Demonstration Cloning for Multi-Agent Deep Reinforcement Learning
A multi-expert action-advice method plus a blockchain model marketplace speeds up multi-agent reinforcement learning under sparse rewards and tolerates faulty experts.