A Double-CNN DQN with a point-of-view visibility mask is reported to outperform simpler exploration agents in a simulated grid, but the evidence is qualitative and the paper lacks any numerical results.
Coordinated multi-robot exploration
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Combining Deep Architectures for Information Gain estimation and Reinforcement Learning for multiagent field exploration
A Double-CNN DQN with a point-of-view visibility mask is reported to outperform simpler exploration agents in a simulated grid, but the evidence is qualitative and the paper lacks any numerical results.