A Visual Communication Map for Multi-Agent Deep Reinforcement Learning

Deep reinforcement learning has been applied successfully to solve various real-world problems and the number of its applications in the multi-agent settings has been increasing. Multi-agent learning distinctly poses significant challenges in the effort to allocate a concealed communication medium... (read more)

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METHOD TYPE
Entropy Regularization
Regularization
Dense Connections
Feedforward Networks
Softmax
Output Functions
Convolution
Convolutions
A3C
Policy Gradient Methods