The WhiRL Reading Group takes places weekly on Tuesdays, 15:00 at Tony Hoare room, Robert Hooke building.
Date of the next reading group: 18.12.2018
No reading group on the 11.12.2018 due to concurrent talk. We will be discussing the TD-VAE on the 18.12.2018.
Topic: Temporal Difference Variational Auto-Encoder
To act and plan in complex environments, we posit that agents should have a mental simulator of the world with three characteristics: (a) it should build an abstract state representing the condition of the world; (b) it should form a belief which represents uncertainty on the world; (c) it should go beyond simple step-by-step simulation, and exhibit temporal abstraction. Motivated by the absence of a model satisfying all these requirements, we propose TD-VAE, a generative sequence model that learns representations containing explicit beliefs about states several steps into the future, and that can be rolled out directly without single-step transitions. TD-VAE is trained on pairs of temporally separated time points, using an analogue of temporal difference learning used in reinforcement learning.
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