Search for tag: "reinforcement"

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03:47 Agents with aspirations: A Prospect Theory… Agents with aspirations: A Prospect Theory approach to intrinsic motivation in Reinforcement Learning, Lucas James Irwin, UG '23 (2270745)	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… prd23 princeton research day undergraduate research ai artificial intelligence new college west reinforcement learning prospect theory agent theory prospect cliff environment reinforcement intelligence thesis edge reward learning goal visits distribution plot bottom chance cent outcomes From Research Princeton Research Day 1 likes 20 plays Date May 3rd, 2023 Speaker Lucas James Irwin, UG '23 Department Computer Science
02:55 Investigating Persuasiveness in Large Language… Investigating Persuasiveness in Large Language Models, Promise Ekpo Osaine, GS	Investigating Persuasiveness in Large Language Models, Promise Ekpo Osaine, GS While the rate of progress and innovation in Artificial intelligence (AI) has many potential benefits, the potential for accidental deleterious effects cannot be overemphasised. It has been… llm large language model prd23 princeton research day graduate research computer science ai artificial intelligence data science arguments argument language statement nigeria model models persuasiveness beta jury statements learning reinforcement run splint shrinks tibetan lambda politician human From Research Princeton Research Day 2 likes 93 plays Date May 3rd, 2023 Speaker Promise Ekpo Osaine, GS Department Computer Science
03:05 How Nature’s Tiniest Soda Could Help Feed… How Nature’s Tiniest Soda Could Help Feed the World: The Story of the Algal Pyrenoid, Eric Franklin, G4 (3965535)	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,… reinforcement learning generalization interpretability neural network tubules co2 algae 3d plants proteins soda sugar membranes crop nature reconstructions difference rest middle matrix fertilizer water yields food From Research Princeton Research Day 6 likes 279 plays Date April 27th, 2022 Speaker Eric Franklin Department Molecular Biology
03:00 Using a Theory of Human Cognition to Improve… Using a Theory of Human Cognition to Improve Computer Agents, Albert Lin, UG '23 (3965329)	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… reinforcement learning generalization interpretability neural network model computer humans game baseline theory control attention levels models visualizations experiments network approach training decisions cognition initializations fruits From Research Princeton Research Day 3 likes 61 plays Date April 27th, 2022 Speaker Albert Lin Department Computer Science