Abstract: This paper considers centralized mission-planning for a heterogeneous multi-agent system with the aim of locating a hidden target. We propose a mixed observable setting, consisting of a ...
Deep Transformer Q-Network (DTQN) is an extension of DQN and DRQN designed to encode an agent's history effectively for solving partially observable reinforcement learning tasks. Our architecture is ...
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