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02/08/2022
GrASP: Gradient-Based Affordance Selection for Planning
Planning with a learned model is arguably a key component of intelligenc...
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02/09/2021
Pairwise Weights for Temporal Credit Assignment
How much credit (or blame) should an action taken in a state get for a f...
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02/09/2021
Learning State Representations from Random Deep Action-conditional Predictions
In this work, we study auxiliary prediction tasks defined by temporal-di...
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12/15/2019
How Should an Agent Practice?
We present a method for learning intrinsic reward functions to drive the...
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09/10/2019
Discovery of Useful Questions as Auxiliary Tasks
Arguably, intelligent agents ought to be able to discover their own ques...
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12/20/2017
In silico generation of novel, drug-like chemical matter using the LSTM neural network
The exploration of novel chemical spaces is one of the most important ta...
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07/31/2015
