Search for tag: "reinforcement"

11 Media

Strategic Mastery in Terminal: A Novel… duration 2 minutes 55 seconds Strategic Mastery in Terminal: A Novel… Strategic Mastery in Terminal: A Novel Reinforcement Learning Approach to Tower-Defense Gameplay, Shivam Kak, UG '26, Ishaan Javali, UG '26, Yagiz Devre, UG '26 (5EE515B6)	Strategic Mastery in Terminal: A Novel Reinforcement Learning Approach to Tower-Defense Gameplay, Shivam Kak, UG '26, Ishaan Javali, UG '26, Yagiz Devre, UG '26 (5EE515B6) From chess to Atari to AlphaGo, performance in games has been a benchmark of performance for machine learning. Terminal is a tower-defense game where players submit algorithms that play against each… prd24 game units player learning reinforcement experts players opponents layers model actions action board competition attack defense terminal sting dynamics From Research Princeton Research Day 1 likes 27 plays Date May 3rd, 2024 Speaker Shivam Kak, UG '26, Ishaan Javali, UG '26, Yagiz Devre, UG '26 (5EE515B6) Department Computer Science
ECE-524 Session 21 \| 4.25 duration 1 hour 21 minutes ECE-524 Session 21 \| 4.25 ECE-524 Session 21 \| 4.25	ECE-524 Session 21 \| 4.25 foundations of reinforcement professor chi jin history observation belief function action probability step thing problem equation distribution learning point mark model star lot h. transition game From Broadcast Broadcast Center Staff 0 likes 4 plays Date April 25th, 2024 Speaker Professor Chi Jin Department ECE Location E-Quad B205
NJ AI Summit - Foundations of AI duration 36 minutes 42 seconds NJ AI Summit - Foundations of AI NJ AI Summit - Foundations of AI	NJ AI Summit - Foundations of AI models vision learning language computer ai robotics control image model robot things training experts hub applications robots field agent reinforcement From Broadcast Broadcast Center Staff 0 likes 126 plays
ECE-524 Session 17 \| 4.09 duration 1 hour 13 minutes ECE-524 Session 17 \| 4.09 ECE-524 Session 17 \| 4.09	ECE-524 Session 17 \| 4.09 professor chi jin ece ece 524 function rank player belmont confidence step game prime matrix action class reinforcement arrow expectation observation form thing probability mdp learning From Broadcast Broadcast Center Staff 0 likes 11 plays Date April 9th, 2024 Speaker Chi Jin Department ECE Location Equad B205
PLI Symposium 11/28 Benjamin Eysenbach duration 3 minutes 16 seconds PLI Symposium 11/28 Benjamin Eysenbach PLI Symposium 11/28 Benjamin Eysenbach	PLI Symposium 11/28 Benjamin Eysenbach programming representations learning point problems methods reasoning machine 60s lot planning efficiency space reinforcement stuff folks context routes mechanism From Broadcast Broadcast Center Staff 0 likes 17 plays
PLI Symposium 11/28 Mengdi Wang duration 5 minutes 22 seconds PLI Symposium 11/28 Mengdi Wang PLI Symposium 11/28 Mengdi Wang	PLI Symposium 11/28 Mengdi Wang language models learning gap model sequence level reinforcement benchmarks collaborator outperforms syntax efficiency translation mra proteins approach robotics context From Broadcast Broadcast Center Staff 0 likes 25 plays
Agents with aspirations: A Prospect Theory… duration 3 minutes 47 seconds 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 24 plays Date May 3rd, 2023 Speaker Lucas James Irwin, UG '23 Department Computer Science
Investigating Persuasiveness in Large Language… duration 2 minutes 55 seconds 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 109 plays Date May 3rd, 2023 Speaker Promise Ekpo Osaine, GS Department Computer Science
How Nature’s Tiniest Soda Could Help Feed… duration 3 minutes 5 seconds 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 308 plays Date April 27th, 2022 Speaker Eric Franklin Department Molecular Biology
Using a Theory of Human Cognition to Improve… duration 3 minutes 0 seconds 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 67 plays Date April 27th, 2022 Speaker Albert Lin Department Computer Science
Panel Discussion: Data science at the… duration 1 hour 34 minutes Panel Discussion: Data science at the… Panel Discussion: Data science at the energy-water nexus	Panel Discussion: Data science at the energy-water nexus Panelists will explore the nexus between energy and water, and big data, such as how energy and water are intertwined and how data science can help advance research and development and business… jason ren mengdi wang david babson saman farid jeff moeller qilin li 2019 annual meeting andlinger center for energy and the environment archived_to_s3 water energy carbon lot wastewater things systems utilities learning treatment technologies infrastructure industry reinforcement economy decisions control science programs From Broadcast Broadcast Center Staff 0 likes 7 plays Date November 8th, 2019 Speaker Jason Ren, Mengdi Wang, David Babson, Saman Farid, Jeff Moeller, Qilin Li, Department ACEE Location Maeder Hall