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02/08/2023
Investigating the role of model-based learning in exploration and transfer
State of the art reinforcement learning has enabled training agents on t...
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03/17/2022
Transframer: Arbitrary Frame Prediction with Generative Models
We present a general-purpose framework for image modelling and vision ta...
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11/02/2021
Procedural Generalization by Planning with Self-Supervised World Models
One of the key promises of model-based reinforcement learning is the abi...
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07/12/2021
CoBERL: Contrastive BERT for Reinforcement Learning
Many reinforcement learning (RL) agents require a large amount of experi...
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03/02/2021
Predicting Video with VQVAE
In recent years, the task of video prediction-forecasting future video g...
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10/15/2020
Representation Learning via Invariant Causal Mechanisms
Self-supervised learning has emerged as a strategy to reduce the relianc...
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06/25/2016
An Uncertain Future: Forecasting from Static Images using Variational Autoencoders
In a given scene, humans can often easily predict a set of immediate fut...
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05/02/2015