Learning to communicate with Deep multi-agent reinforcement learning
We consider the problem of multiple agents sensing and acting in environments with the goal of maximising their shared utility. In these environments, agents must learn communication protocols in order to share information that is needed to solve the tasks. By embracing deep neural networks, we are...
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| Format: | Conference item |
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Massachusetts Institute of Technology Press
2016
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