Resultados da pesquisa - Harrison, Brent

3M: Multi-style image caption generation using Multi-modality features under Multi-UPDOWN model Por Li, Chengxi, Harrison, Brent

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A Self-Explainable Stylish Image Captioning Framework via Multi-References Por Li, Chengxi, Harrison, Brent

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StyleM: Stylized Metrics for Image Captioning Built with Contrastive N-grams Por Li, Chengxi, Harrison, Brent

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Guiding Reinforcement Learning Using Uncertainty-Aware Large Language Models Por Shoaeinaeini, Maryam, Harrison, Brent

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Multi-agent Reinforcement Learning for Decentralized Stable Matching Por Taywade, Kshitija, Goldsmith, Judy, Harrison, Brent

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Using Non-Stationary Bandits for Learning in Repeated Cournot Games with Non-Stationary Demand Por Taywade, Kshitija, Harrison, Brent, Goldsmith, Judy

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Modelling Cournot Games as Multi-agent Multi-armed Bandits Por Taywade, Kshitija, Harrison, Brent, Bagh, Adib

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DinoDroid: Testing Android Apps Using Deep Q-Networks Por Zhao, Yu, Harrison, Brent, Yu, Tingting

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Persona-Guided LLM Agents for Task-Oriented Dialogue Por Shoaeinaeini, Maryam, Harrison, Brent, Siddique, A. B.

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Smart Advertisement for Maximal Clicks in Online Social Networks Without User Data Por Hudson, Nathaniel, Khamfroush, Hana, Harrison, Brent, Craig, Adam

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Visual Question Answering Using Semantic Information from Image Descriptions Por Tasrin, Tasmia, Nahian, Md Sultan Al, Harrison, Brent

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Explore, Exploit or Listen: Combining Human Feedback and Policy Model to Speed up Deep Reinforcement Learning in 3D Worlds Por Lin, Zhiyu, Harrison, Brent, Keech, Aaron, Riedl, Mark O.

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A Sierpinski Triangle Data Structure for Efficient Array Value Update and Prefix Sum Calculation Por Harrison, Brent, Necaise, Jason, Projansky, Andrew, Whitfield, James D.

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Influencing Reinforcement Learning through Natural Language Guidance Por Tasrin, Tasmia, Nahian, Md Sultan Al, Perera, Habarakadage, Harrison, Brent

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Training Value-Aligned Reinforcement Learning Agents Using a Normative Prior Por Nahian, Md Sultan Al, Frazier, Spencer, Harrison, Brent, Riedl, Mark

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Machine Learning Approaches for Principle Prediction in Naturally Occurring Stories Por Nahian, Md Sultan Al, Frazier, Spencer, Harrison, Brent, Riedl, Mark

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The Goofus & Gallant Story Corpus for Practical Value Alignment Por Nahian, Md Sultan Al, Tasrin, Tasmia, Frazier, Spencer, Riedl, Mark, Harrison, Brent

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Controllable Neural Story Plot Generation via Reward Shaping Por Tambwekar, Pradyumna, Dhuliawala, Murtaza, Martin, Lara J., Mehta, Animesh, Harrison, Brent, Riedl, Mark O.

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Event Representations for Automated Story Generation with Deep Neural Nets Por Martin, Lara J., Ammanabrolu, Prithviraj, Wang, Xinyu, Hancock, William, Singh, Shruti, Harrison, Brent, Riedl, Mark O.

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