Search for tag: "reinforcement learning"
Agents with aspirations: A Prospect Theory approach to intrinsic motivation in Reinforcement Learning, Lucas James Irwin, UG '23 (2270745)Artificial Intelligence (AI) is becoming ubiquitous, yet the lack of transparency in its decision-making process and its value system raises alarms. To address this, my senior thesis combines…
From Research Princeton Research Day
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How Nature’s Tiniest Soda Could Help Feed the World: The Story of the Algal Pyrenoid, Eric Franklin, G4 (3965535)Plants are responsible for almost everything around us. Not just as crops for us or livestock to eat, but also for the wood that makes up our houses and furniture, the cotton that we wear as clothes,…
From Research Princeton Research Day
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Using a Theory of Human Cognition to Improve Computer Agents, Albert Lin, UG '23 (3965329)Current reinforcement learning (RL) models still have difficulty generalizing to novel, but related, tasks. They are also often composed of deep neural networks which carry out computations that do…
From Research Princeton Research Day
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