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Roy H. Campbell

2 accepted papers

2020

Model Based Reinforcement Learning for Atari

ICLR 2020spotlight

Model-free reinforcement learning (RL) can be used to learn effective policies for complex tasks, such as Atari games, even from image observations. However, this typically requires very large amounts of interaction -- substantially more, in fact, than a human would need to learn the same games. How…

Cited by 1127SourcecodeScholar
2018

Stochastic Variational Video Prediction

ICLR 2018poster

Predicting the future in real-world settings, particularly from raw sensory observations such as images, is exceptionally challenging. Real-world events can be stochastic and unpredictable, and the high dimensionality and complexity of natural images requires the predictive model to build an intrica…

Cited by 671SourcePDFScholar