A Q-values Sharing Framework for Multiple Independent Q-learners

adaptive agents and multi-agents systems, pp. 2324-2326, 2019.

Cited by: 2|Views11
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Abstract:

By using a multiagent reinforcement learning (MARL) framework, cooperative agents can communicate with one another to accelerate the joint learning. In the teacher-student paradigm applied in MARL, a more experienced agent (advisor) can advise another agent (advisee) which action to take in a state. However, when agents need to cooperate ...More

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