Analysing factorizations of action-value networks for cooperative multi-agent reinforcement learning
Recent years have seen the application of deep reinforcement learning techniques to cooperative multi-agent systems, with great empirical success. However, given the lack of theoretical insight, it remains unclear what the employed neural networks are learning, or how we should enhance their learnin...
| Auteurs principaux: | , , , |
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| Format: | Journal article |
| Langue: | English |
| Publié: |
Springer
2021
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