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Capturing the structure of a data-generating process by means of appropriate inductive biases can help in learning models that generalize well and are robust to changes in the input distribution.
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A simple neural network module for relational reasoning
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Attention is all you need
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Starcraft ii: A new challenge for reinforcement learning
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Alet, F., Lozano-Pérez, T., and Kaelbling, L. P · 2018
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Relational inductive biases, deep learning, and graph networks
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Neural scene representation and rendering
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Sparse attentive backtracking: Temporal credit assignment through reminding
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Independently recurrent neural network (indrnn): Building a longer and deeper rnn
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Tackling climate change with machine learning
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The starcraft multi-agent challenge, 2019
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Sequential neural processes, 2019
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Predicting the present and future states of multi-agent systems from partially-observed visual data
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