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Analyzing Reinforcement Learning Algorithms for Nitrogen Fertilizer Management in Simulated Crop Growth
Establishing intelligent crop management techniques for preserving the soil, while providing next-generational food supply for an …
Michael Vogt
,
Benjamin Rosman
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Combining Evolutionary Search with Behaviour Cloning for Procedurally Generated Content
In this work, we consider the problem of procedural content generation for video game levels. Prior approaches have relied on …
Nicholas Muir
,
Steven James
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Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game Levels
Procedurally generated video game content has the potential to drastically reduce the content creation budget of game developers and …
Michael Beukman
,
Christopher Cleghorn
,
Steven James
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Autonomous Learning of Object-Centric Abstractions for High-Level Planning
We propose a method for autonomously learning an object-centric representation of a continuous and high-dimensional environment that is …
Steven James
,
Benjamin Rosman
,
George Konidaris
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Generalisation in Lifelong Reinforcement Learning through Logical Composition
We leverage logical composition in reinforcement learning to create a framework that enables an agent to autonomously determine whether …
Geraud Nangue Tasse
,
Steven James
,
Benjamin Rosman
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Using Score-based Structure Learning to Computationally Learn Direct Influence between Hierarchical Dynamic Bayesian Networks
Numerous fields of science have investigated stochastic processes which are partially observable. However, the discovery and analysis …
Ritesh Ajoodha
,
Benjamin Rosman
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Constructing a Visual Dataset to Study the Effects of Spatial Apartheid in South Africa
Aerial images of neighborhoods in South Africa show the clear legacy of Apartheid, a former policy of political and economic …
Raesetje Sefala
,
Timnit Gebru
,
Luzango Mfupe
,
Nyalleng Moorosi
,
Richard Klein
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Improving Pose Estimation through Contextual Activity Fusion
This research presents the idea of activity fusion into existing Pose Estimation architectures to enhance their predictive ability. …
David Poulton
,
Richard Klein
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Generative Adversarial Networks for Global Illumination and Indirect Lighting as a Replacement for Ray-tracing in Older GPU Hardware
We give an overview of the different rendering methods and we demonstrate that the use of a Generative Adversarial Networks (GAN) for …
Jared Harris-Dewey
,
Richard Klein
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Deep Reinforcement Learning for Robotic Hand Manipulation
Researchers have made a lot of progress in combining the advances in Deep Learning and the generalization and applicability of …
Muhammed Saeed
,
Mohammed Nagdi
,
Benjamin Rosman
,
Hiba H.S.M. Ali
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