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Enabling humanoid robots to clean rooms has long been a pursued dream within humanoid research communities.
Markov games as a framework for multi-agent reinforcement learning
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Adam: A method for stochastic optimization
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Naureen Mahmood, Nima Ghorbani, Nikolaus F Troje, Gerard Pons-Moll, and Michael J Black · 2019
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Cross-conditioned recurrent networks for long-term synthesis of inter-person human motion interactions
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Revisiting parameter sharing in multi-agent deep reinforcement learning
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