Tesseract: tensorised actors for multi−agent reinforcement learning

Tesseract: tensorised actors for multi−agent reinforcement learning

Reinforcement Learning in large action spaces is a challenging problem. This is especially true for cooperative multi-agent reinforcement learning (MARL), which often requires tractable learning while respecting various constraints like communication budget and information about other agents. In thi...

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Hlavní autoři: Mahajan, A, Samvelyan, M, Mao, L, Makoviychuk, V, Garg, A, Kossaif, J, Whiteson, S, Zhu, Y, Anandkumar, A
Médium: Conference item
Jazyk:English
Vydáno: PMLR 2021

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