Showing 101 - 120 results of 139 for search '"The Ataris"', query time: 0.08s Refine Results
  1. 101

    Spatial reasoning and planning for deep embodied agents by Ishida, S

    Published 2024
    “…SOAP showed robust performances on history-conditional corridor tasks as well as classical benchmarks such as Atari.</p> <p>Thirdly, LangProp, a code optimisation framework using Large Language Models to solve embodied agent problems that require reasoning by treating code as learnable policies. …”
    Thesis
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    Evaluation of Biogas Production from the Co-Digestion of Municipal Food Waste and Wastewater Sludge at Refugee Camps Using an Automated Methane Potential Test System by Mohammad Al-Addous, Motasem N. Saidan, Mathhar Bdour, Mohammad Alnaief

    Published 2018-12-01
    “…The potential benefits of the application of a circular economy&mdash;converting biomass at Za'atari Syrian refugee camps into energy&mdash;was investigated in this study. …”
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    Article
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    Improving sample efficiency using attention in deep reinforcement learning by Ong, Dorvin Poh Jie

    Published 2021
    “…On the next experiment, we tested SAN, C-SAN and CAN on 49 Atari 2600 games. C-SAN was found to be better than the No Attention model by 15.36% on average while CAN and SAN were found to be worse by -14.44% and -1.47% respectively. …”
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    Final Year Project (FYP)
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    Explaining Deep Q-Learning Experience Replay with SHapley Additive exPlanations by Robert S. Sullivan, Luca Longo

    Published 2023-10-01
    “…We investigate training a Deep Convolutional Q-learning agent across 20 Atari games intentionally reducing Experience Replay capacity from <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1</mn><mo>×</mo><msup><mn>10</mn><mn>6</mn></msup></mrow></semantics></math></inline-formula> to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>5</mn><mo>×</mo><msup><mn>10</mn><mn>2</mn></msup></mrow></semantics></math></inline-formula>. …”
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    Article
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