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Efficient decorrelation of features using Gramian in Reinforcement Learning
Learning good representations is a long standing problem in reinforcemen...
11/19/2019 ∙ by Borislav Mavrin, et al. ∙
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Distributional Reinforcement Learning for Efficient Exploration
In distributional reinforcement learning (RL), the estimated distributio...
05/13/2019 ∙ by Borislav Mavrin, et al. ∙
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Deep Reinforcement Learning with Decorrelation
Learning an effective representation for high-dimensional data is a chal...
03/18/2019 ∙ by Borislav Mavrin, et al. ∙
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QUOTA: The Quantile Option Architecture for Reinforcement Learning
In this paper, we propose the Quantile Option Architecture (QUOTA) for e...
11/05/2018 ∙ by Shangtong Zhang, et al. ∙
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House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis
Online real-estate information systems such as Zillow and Trulia have ga...
03/01/2018 ∙ by Bang Liu, et al. ∙
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Recover Fine-Grained Spatial Data from Coarse Aggregation
In this paper, we study a new type of spatial sparse recovery problem, t...
03/01/2018 ∙ by Bang Liu, et al. ∙
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Borislav Mavrin
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University of Alberta
