VERONICA CHELU
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1
A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions
Estimating value functions is a core component of reinforcement learning algorithms. Temporal difference (TD) learning algorithms use …
Anthony GX-Chen
,
Veronica Chelu*
,
Blake A. Richards
,
Joelle Pineau
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Learning Expected Emphatic Traces for Deep RL
Off-policy sampling and experience replay are key for improving sample efficiency and scaling model-free temporal difference learning …
Ray Jiang
,
Shangtong Zhang
,
Veronica Chelu*
,
Adam White
,
Hado van Hasselt
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Forethought and Hindsight in Credit Assignment
We address the problem of credit assignment in reinforcement learning and explore fundamental questions regarding the way in which an …
Veronica Chelu*
,
Doina Precup
,
Hado van Hasselt
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Lambda Successor Return Error
Anthony GX-Chen
,
Veronica Chelu*
,
Blake Richards
,
Joelle Pineau
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Option Discovery by Aiming to Predict
Veronica Chelu*
,
Doina Precup
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Scene Understanding Networks for Autonomous Driving based on Around View Monitoring System
Modern driver assistance systems rely on a wide range of sensors (RADAR, LIDAR, ultrasound and cameras) for scene understanding and …
J. Baek*
,
Veronica Chelu*
,
L. Iordache
,
V Paunescu
,
A. Ghiuta H. Ryu
,
Y. Soh A. Petreanu
,
A. Leica
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Temporal abstraction and subgoal discovery by clustering successor features
Veronica Chelu*
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The influence of exploratory behaviour on temporal abstraction and subgoal identification
Veronica Chelu*
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