A Q-values Sharing Framework for Multiagent Reinforcement Learning under Budget Constraint

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Abstract:

In teacher-student framework, a more experienced agent (teacher) helps accelerate the learning of another agent (student) by suggesting actions to take in certain states. In cooperative multiagent reinforcement learning (MARL), where agents need to cooperate with one another, a student may fail to cooperate well with others even by foll...More

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