02/
Adrienne Fairhall
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None listed
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05/
Marcin Miłkowski
06/
Paul Cisek
07/
Recap and Panel Discussion
09/
Blake Richards
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Optimizing agent behavior over long time scales by transporting value
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On the Strong Universal Consistency of Nearest Neighbor Regression
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The primacy of behavioral research for understanding the brain
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Learning Structures: Predictive Representations, Replay, and Generalization
11/
Gary Marcus
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Optogenetic Editing Reveals the Hierarchical Organization of Learned Action Sequences
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Hand Knob Area of Premotor Cortex Represents the Whole Body in a Compositional Way
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Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems
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Entity Abstraction in Visual Model-Based Reinforcement Learning
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Improving Generative Imagination in Object-Centric World Models
12/
Jessica Hamrick
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State, Transition and Learning Interactions in the Two-Step Task
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Predictive representations can link modelbased reinforcement learning to model-free mechanisms
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Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?
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The successor representation in human reinforcement learning
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Human-level concept learning through probabilistic program induction
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ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
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On the role of planning in model-based deep reinforcement learning
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A normative account of confirmatory biases during reinforcement learning
15/
Recap and Panel Discussion
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Tree crickets optimize the acoustics of baffles to exaggerate their mate-attraction signal
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The Model-less Neuromimetic Chip and its Normalization of Neuroscience and Artificial Intelligence
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Probably Approximately Correct: Nature's Algorithms for Learning and Prospering in a Complex World
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The Contribution of Area MT to Visual Motion Perception Depends on Training
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Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems
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ON THE RELATIONSHIP OF ACTIVE INFERENCE AND CONTROL AS INFERENCE
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Intrinsic Social Motivation via Causal Influence in Multi-Agent RL