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The algebraic mind: Integrating connectionism and cognitive science
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Been there, done that: Meta-learning with episodic recall
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Prefrontal cortex as a meta-reinforcement learning system
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Unsupervised predictive memory in a goal-directed agent
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Systematic generalization: What is required and can it be learned?
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Monet: Unsupervised scene decomposition and representation
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Quantifying generalization in reinforcement learning
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Deepmdp: Learning continuous latent space models for representation learning
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Multi-object representation learning with iterative variational inference
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An investigation of model-free planning
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Challenging common assumptions in the unsupervised learning of disentangled representations
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Habitat: A platform for embodied ai research
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Visual semantic navigation using scene priors
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Deep reinforcement learning with relational inductive biases
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Raven: A dataset for relational and analogical visual reasoning
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Embodied multimodal multitask learning
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What can i do here? a theory of affordances in reinforcement learning
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Space: Unsupervised object-oriented scene representation via spatial attention and decomposition
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Dd-ppo: Learning near-perfect pointgoal navigators from 2.5 billion frames
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Learning invariant representations for reinforcement learning without reconstruction
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Dark, beyond deep: A paradigm shift to cognitive ai with humanlike common sense
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