Learning with opponent-learning awareness
Multi-agent settings are quickly gathering importance in machine learning. This includes a plethora of recent work on deep multi-agent reinforcement learning, but also can be extended to hierarchical reinforcement learning, generative adversarial networks and decentralised optimization. In all these...
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| Formato: | Conference item |
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International Foundation for Autonomous
Agents and Multiagent Systems
2018
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