Overview

CS 229 is the Computer Science Departments' highest enrollment class, and provides a graduate-level introduction to machine learning. Students engage in a quarter-long project of their choosing. Projects range from developing novel machine learning algorithms to applying machine learning to current research and industry problems. The list of projects below shows the amazing range of problems for which machine learning can improve performance. We encourage you to come see the posters and discuss with students how machine learning can impact your areas of interest.

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Projects

Acing the Class: Predicting Tennis Match Results Using Machine Learning
John Melloni, Ryan Cole

Attendance Prediction of Phillies Baseball Games
Simon Li, Sera Lee, Jialong Wang

The Bank is Open: AI in Sports Gambling
Alexandre Bucquet, Vishnu Sarukkai

High Accuracy Flight State Identification of a Self-Sensing Wing via Machine Learning Approaches
Zhe Huang, Cheng Liu, Hongyi Zhao

Peak Baseball Career Performance from Early Career Indicators
Liam Kelly, Matthew Lee, Paavani Dua

Classifying Human Activity Using Sensor Data
Zachary Blum, Aristos Athens, Navjot Singh

Neural Network for Detecting Head Impacts from Kinematic Data
Alissa Ling, Nicholas Gaudio, Michael Fanton

Predicting NBA Player Salaries
Noah Jackson

Haptic Gripper Transition Prediction
Arec Jamgochian

Predict running speed from heart rate and running dynamics data from sensor using SVM
Laainam Chaipornkaew

Predicting Metabolic Cost During Human-in-the-Loop Optimization
Eley Ng, Erez Krimsky

Autonomous Computer Vision Based Human-Following Robot
Akshay Gupta, Nick Gloria

Training a Playlist Curator Based on User Taste
Kevin Coelho, Amel Awadelkarim

Machine Learning Enabled Audio Emotion Recognition
Qian Dong, Jingyi Tang, Ruiming Zhu

Colatron: End-to-end speech synthesis
Xiao Wang, Yahan Yang, Ye Li

HitPredict
Nicholas Burton, Marcella Suta, Elena Georgieva

Music Generation with LSTMs
Joyce Xu, Sam Xu, Eric Tang

Generating music with Machine Learning
David Kang, Simen Ringdahl, Jung Young Kim

Music Classification through CNN and Classical Algorithms
Jialun Zhang, Siqi Xue

Latent Feature Extraction for Musical Genres
Vrinda Vasavada, Woody Wang, Arjun Sawhney

Classifying Music by Genre
Derek Huang, Eli Pugh, Arianna Serafini

Training a Playlist Curator Based on User Taste
Amel Awadelkarim, Kevin Coelho

Applying Convolutional Neural Network to Polyphonic Piano Music Transcription
Celia (Xinuo) Chen, Daniel Do

Investigation of bridge performance under various earthquakes with knowledge of machine learning
Ziyang Jiang, Xiao Zhang

Point Cloud Autoencoders for Fast, Globally-Accurate 3D Mapping
Mihir Garimella, Prathik Naidu

Privacy Preserving 3D Human Pose Estimation with Applications for Senior Homes
David Xue

Multimodal Learning for Disaster Assessment Using Social Media Data
Swetha Revanur, Keanu Spies

Deep Energies for Estimating Three-Dimensional Facial Pose and Expression
Xinwei Yao, Jane Wu

Eye, Eye Captain! Using Biology to Improve Image Recognition and Classification
Vamsi Saladi , Aditya Iswara

Semi-supervised Temporal Action Proposals
Kaidi Cao

Automated Identification of Gait Abnormalities
Adam Gotlin, Apurva Pancholi, Umang Agarwal

Partial Style Transfer
Dan Johnson

Drawing: A New Way To Search
Nguyet Minh Phu, Connie Xiao, Jervis Muindi

U-NoIT
John Chuter, Manuel Nieves, Geoffrey Bakker

Classifying Adolescent Excessive Alcohol Drinkers from fMRI Data
Yong-hun Kim, Cindy Liu, Joseph Noh

Facial Expression Recognition: Analysis of ResNet, CNN, and HOG
Esha Wang, Andrew Miller-Smith

Human Protein Atlas Image Classification
Jingyuan Linda Zhang

DeepConvo
Ella Hofmann-Coyle, Diego Celis, Alex Pham

Structural Damage Recognition
Minnie Ho, Jorge Troncoso

Detecting Solar Photovoltaic Panel from Satellite Imagery by Machine Learning Approaches
Kongphop Wongpattananukul, Yuanjun Li, Puyang Ma

Comparison of Machine Learning Techniques for Artist Identification
Andrew Deng, Jennie Chen

A Method for Removing Facial Features
Boning Zheng, Meixian Zhu, Jing Bo Yang

Fruits Classification
Usha Kankanala, Krishna Rapaka

Generative Neural Network Based Image Compression
Emine Meltem Tolunay, Ahmad Ghalayini

Investigating Semantic Segmentation Using Different Models
Huaxiuyue Wang, Yuzhe Peng, Lucas Zhiheng Zhou

Automatic Liver Segmentation via Mask-RCNN
Chenyu You, Li Yue, Xianzhe Zhang

AI Doesn't Make Mistakes
Ryan Cao

Automatic Diagnosis of Perilunate Dislocation on X-rays in Trauma Patients
Angela Gu

Breast Cancer Tumor Segmentation
Han Lin Aung, Sajana Weerawardhena, Hugo Valdivia

Multiple Methods for Traffic Sign Detection Computer Vision
Xuesi Shen, Boyao Sun, Yanbo Shu

Autonomous R/C Car Behavioral Cloning Optimization
Joon Jung

Improving Robustness of Semantic Segmentation Models with Style Normalization
Felix Wang, Evani Radiya-Dixit, Andrew Tierno

SongNet: Real-time Music Classification
Yue Zhang, Chi Zhang, Chen Chen

Monet is spots, Manet is people
Elena Tuzhilina

Predicting Movie Genre From Posters
Darrith Phan, Zahra Abdullah

Pneumonia Diagnosis Detection and Localization
Mars Huang, Medi Monam, Emanuel Cortes

Image Retrieval from fMRI data
Kaan Donbeci, Sarp Celikel

Airbus Ship Detection
Ying Chen, Junwen Zheng, Zhengqing Zhou

Image-caption retrieval
Giacomo Lamberti, Junyang Qian

Machine learning approaches to identifying ultrasound microbubbles
Jasmine Shu

Real-time Detailed Video Analysis of Fruit Flies
Steven Herbst

Quick, Draw! Image Classification from Sketches
Darren Mei, Emmie Kehoe

Consistency Is All You Need: Robustifying CNNs Via Cross-Task Context
Rohan Suri, Nikhil Cheerla

Improving Robustness of Computer Vision Systems with Observational Supervision
Khaled Saab

Amazon Inventory Reconcilation using AI
Nutchapol Dendumrongsup, Sravan Sripada, Pablo Bertorello

Aimbot Detection using Machine Learning
Cagil Koroglu

Deep Queue Learning: A Quest to Optimize Office Hours
Avoy Datta, Dian Ang Yap, Zheng Yan

Data driven approach for predicting stock index movement and prices using S&P 500 Data
Saksham Gakhar, Lei Fang, Joseph Ballouz

Lending Club P2P Loan Default Prediction
Peiqian Li, Gao Han

Virtual Bidding and Price Forecasting in Wholesale Electricity Markets
Tao Sun, Zhen Qin, Fei Huang

A Proximity-Based Early Warning System for Gentrification in California
Aakash Pattabi

Are stock investors "educated" in the right direction?
Yilun Xu, Chris Wang, Qingyang Wang

Training a Multi-algorithmic Agent to Trade in the U.S. Equities Market
Sophia Lu, Riley DeHaan

Predicting non-transient movements amongst the volatility of crude oil prices
Alex Sareyan, Yuexi Liu, Tony Hu

Predicting Stock Market Trends Given Social Media Trends
Jeffrey Chen, Kathleen Kenealy

Foreign Exchange Forecasting via Machine Learning
Christian Gonzalez Rojas, Molly Herman

Optimal Airline Ticket Purchasing
Saelig Khattar

Splid: Identifying Vacation Groups from Shared Expense Groups
Gao Xian Peh, Nico Jersch, Jing Lim

Salary Prediction
Jenna Lee, Jennifer Villa, Matt Jones

Using News to Predict Stock Movements
Yu Gu, Jiawen Xie, Mingkun Chen

Characterizing the Efficacy of Financial Ratios in Predicting Industry Weighted Returns
Kinbert Chou, Eva Zhang, Caroline Zhang

Kaggle Competition 2sigma - Using News to Predict Stock Movements
Barthold Albrecht, Yanzhuo Wang, Xiaofang Zhu

Predicting Stock Movements using Market Data and News
Rohan Badlani, Joseph Taglic, Konrad Morzkowski

Stock Return Prediction Using News Sentiment
Javen Xu, Xiao Zhang, Anita Hanzhi Zheng

Machine Learning for Stock Prediction
Chris Lucas, Sam Premutico

Zestimate Bazinga
Andrey Koch, Lucas Lemanowicz, Marina K Peremyslova

Automating Venture Capital: Using Machine Learning to Predict the Success of Kickstarter Campaigns
Sushil Upadhyayula, Pranav Upadhyayula

Machine Learning Prediction of Companies’ Business Success
Chenchen Pan, Yuan Gao, Yuzi Luo

Predicting Foreign Exchange Arbitrage
Amy Yixiao Wang, Stefan Johann Huber

Applying Machine Learning to Explore Entrepreneurial Fundraising Strategies
Willow Wu

Predicting Stock Movements Using Market Data and News
Rohan Badlani, Joseph Taglic, Konrad Morzkowski

A Machine Learning Approach to Assess Education Policies in Brazil
Alexandre Simoes Gomes Junior

An equity long-short ranking system based on modifications to LSTM RNN
Glib Stronov, Raul Overdijk Girbal

Using Deep Q-Learning for Algorithmic Trading
Thanapat Worasaran

GStore Revenue Prediction
Yue Wang, Yuqin Dai, Jizhou Liu

Airbnb Price Estimation
Liubov Nikolenko, Hoormazd Rezaei, Pouya Rezazadeh Kalehbasti

Weak Supervision Techniques for Generating Rapidly Labeled Datasets and Digital Screenshot Classification
Kimberly Te, Brittany Truong, Grace Cheng

Quick, Draw! Doodle Recognition using Generative Learning Algorithms
Kristine Guo, James WoMa, Eric Xu

Optimizing Rectangular Decomposition to Accelerate the Learning of Random Unitary Matrices
Julia White

Analysis of Code Submissions in Competitive Programming Contests
Wenli Looi

Investigating the Adversarial Robustness of Neural Architectures using Reluplex
Adam Pahlavan, Daniel Lee, Justin Rose

How real is real? Quantitative and Qualitative comparison of GANs and supervised-learning classifiers.
Jacqueline Yau, Riccardo Verzeni

Machine learning to deliver blood more reliably - The Iron man (drone) of Rwanda
Parikshit Deshpande, Abhishek Akkur

Using Census Data to Predict Solar Panel Density
Jeremy Chen, Eddie Sun, Brett Szalapski

Analyzing Twitter Conversations through Gender
Sofía Josefina Lago Dudas, Daniel Henry

Pump it or Leave it? A Water Resource Evaluation in Sub-Saharan Africa
Marios Galanis, Jacqueline Fortin Flefil, Vladimir Kozlow

Under Pressure: Detecting Barometric Errors with Machine Learning
Jesus Cervantes, Mayuka Sarukkai

Predicting the Buckling Response of Structural Panels
Jason Qian

FAD: Fairness through Adversarial Discrimination
Alexandra Henzinger, Justin Chen

Machine Learning Predicts PM2.5 Using Meteorological Factors
Tzu-Ling Liu, Yucan Peng, Zhaoxuan Wang

Determining Education Success Factors
Manisha Basak, Zoe Pacalin, IpChun Chan

Progressive Training of Deep Neural Networks
Keshav Santhanam

Predicting Methane Emission Potential from Arctic Lakes with Limited Data
Michael Thompson, Stephanie Schneider

Traffic Congestion Prediction System
Bernard Lange, William David, Jr Brannon

Classifying Spam using URLs
Di Ai

Predicting Conference Paper Acceptance
William Jen, Shichang Zhang, Munyu Chen

Epsilon : Auto-triaging JIRA
Yonatan Feleke, Ashok Poothiyot, Gurkanwal Brar

Discover LinkedIn Job Seeker's Commute Preference
Dianxia Yang

Noise Distribution Distinction by using Machine Learning
Zhongnan Hu, Zixuan Zhou, Sheng Ji

Sentiment Analysis for Amazon Reviews
Wanliang Tan, Xinyu Wang, Xinyu Xu

A Scientific Perspective on the Art of Board Game Design
Steven Zheng

Heartbreaker: modeling heart disease mortality rates
Luca Schroeder

Analyzing the Spread of Fake News Across Networks
Neel Ramachandran, Meghana Rao, Anika Raghuvanshi

How to Win PUBG
Zachary Farnsworth, Adam Thorne, Charles Furrer

PUBG: A Guide To Free Chicken Dinner
Wenxin Wei, Yang Li, Xin Lu

Personalized Movie Recommendation System
Shujia Liang, Lily Liu, Tianyi Liu

Be SMART, Don't Fail
Aamir Jamal, Eric Yang, Zainab Khan

Predicting the outcome of soccer matches using multiple machine learning models
Zen Simone, Canyon Robins , Jaydon Krok

Multi-Signal Outage Detection
Saravana Chellappan

Machine Learning for Interstate Conflict Prediction
Luladay Price, Colin Gaffney, Jorge Ochoa

Autograding Code Style: A Machine Learning Approach
Jananan Mithrakumar, Gustavo da Silva

Utilizing Latent Embeddings of Wikipedia Articles toPredict Poverty
Evan Sheehan, Chenlin Meng, Zaid Nabulsi

Hyperbolic Representation Learning for Real-World Networks
Manan Shah, Sagar Maheshwari

Fishnet: Discriminating between Human and AI Chess Players
Cristobal Sciutto, Lucas Sato, Sean Roelogs

Tichu game outcome prediction
Hung-I Yang

The Disaggregated Energy Committee
Fred Lu, Samir Sen

San Francisco Crime Prediction with Machine Learning
Ming Hong, Xiaole Wang, Longjie Chen

A Pixel-Based Framework for Data-Driven Clothing
Yilin Zhu, Jenny Jin, Zhenglin Geng

Breast Cancer Segmentation and BIRADS Score Prediction
Rewa Sood, Ankit Chadha

Predicting Correctness of Protein Complex Binding Orientations
Kaylie Zhu, Sarah Gurev, Nidhi Manoj

Prediction of Small Molecule Kinase Inhibitors for Chemotherapy Using Deep Learning
Winston Wang

Isolating single cell types from co-culture flow cytometry experiments using automated n-dimensional gating for CAR T-based cancer immunotherapy
Victor Tieu

Human Protein Atlas Image Classification
Siyi Tang, Ruge Zhao

Identifying Transcription Unit Structure from Rend Sequencing Data
Travis Horst

Early detection of lung cancer using RNA transcriptomes derived from bronchial cells
Kevin J Hou

Early Stage Cancer Detector: Identifying Future Lymphoma cases using Genomics Data
Ayush Agrawal, Sai Anurag Modalavalasa, Sarah Egler

Large-scale Protein Atlas Compartmentalization Analysis
Zijian Zhang, Wen Zhou, Kuangcong Liu

Complex-Valued Convolutional Neural Networks for MRI Reconstruction
Elizabeth Cole

Machine Learning for Targeted Drug Policy
Bryce Hodson, Peter Bryan

SAD! Supervised Algorithms on Depression
Arun Seetharaman, Saarthak Sarup, Louis Blankemeier

Predicting Protein Interactions of Intrinsically Disordered Protein Regions
Benjamin Yeh

Res2Vec: Amino acid vector embeddings from 3d-protein structure
Tyler Shimko, Scott Longwell

Predicting the Survivability of Breast Cancer Patients after Neoadjuvant Chemotherapy Using Machine Learning
Linda Banh, Preston Ng, Robel Daniel

Dissecting cell type-specific signatures of brain aging with machine learning algorithms on single-cell RNA-seq data
Matthew Buckley

Predicting Lymphoma Risk from Gene Expression Data
Marcos Torres, Timothy Le

Investigating sexual dimorphism during pregnancy using cell-free RNA
Mira Moufarrej, Sunil Bodapati, Rebecca Weires

Machine Learning for Disease Progression
Yong Deng, Xuxin Huang, Guanyang Wang

Application of Deep Learning in Generating MR-based Attenuation Maps in PET/MRI
Chen-Ming Chang, Li Tao

Blind Source Separation of Moving Targets from Stationary Background Tissue in Doppler Ultrasound
Rehman Ali

Predicting protein-protein interaction interfaces using sequence and evolutionary information
Hannah Wastyk, Esha Atolia

Predicting Retinal Ganglion Cell Spike-Triggered Averages in the Dark
Eric Wu

Predicting Gene Function Using SVMs and Bayesian Networks
Laura Miron, Benoit Pit--Claudel

Using a Logistic Classifier to Predict Drug Resistant Mutations in HIV-1
Andrew Moreno

Painless Prognosis of Myasthenia Gravis using Machine Learning
Abhishek Tapadar, Asherin Anto George

Understanding Clinical Depression Using fMRI Scans, Behavior Measures, and VR Activity Results
Quint Underwood, Zach Taylor, Conner Smith

Classifying Treatment Effectiveness in Chronic Recurrent Multifocal Osteomyelitis from MRIs
Anna Merkoulovitch, Zach Wener-Fligner

Predicting relapse of Acute Myelogenous Leukemia after stem cell transplantation
Michael A Menarguez

Feature selection of a gene signature associated with the essentiality of the MYC oncogene in cancer
Delaney Sullivan

Identifying Genetic and Epigenetic Factors for Lymphoma
Yousuf Ajmerwala, Karina Samuel-Gama, Juan Manuel Zambrano

Amino Acid Hotspot Prediction
Yianni Laloudakis

​​Predicting VO2 max using RNA-Seq
Eric Wei

Segmentation of Acute Stroke Lesions from DWI using U-Net
Leon Xu, Katharina Brown, Angela Xu

School-Specific Estimates of Returns to Increased Education Spending in Massachusetts
Isaac Kasevich, Zane Kashner, Ethan Oro

Simulating Neural Spike Trains for Brain-Computer Interface Model Validation
Andrea Gaeta

Predicting BRCA Responsiveness to Anti-PD-1 Immunotherapy
Michelle Min Rui Li

Summarization of Web Page Clusters for Meta-Level Topic Modeling
Arvind Subramanian, Animesh Koratana

Identifying Bias in News to Combat the Echo Chamber
Daniela Gonzalez, Shreya Shankar

Short Answer auto grader
Ashwin Agrawal, Pranjal Patil

Automated Glossary Construction of a Biology Textbook
Anita Kulkarni, Rachel Smith

Classification of News Dataset
Olga Fuks

Hybrid Distributional and Definitional Word Vectors
Ranjani Iyer, Haiyuan Mei

Text Complexity
Tyler Yep, Harry Sha

Synthesizing Programs from Specifications
Sumith Kulal, Sakshi Namdeo

Fitting and Interpreting Predictive Models to Identify Gender Bias Over Time in Reddit Comments
Vibha Puri

Fake it Till You Make it: Fake Review Detection and Generation
Jonathan Gomes Selman, Nikita Demir, Jose Giron

Food χ: Building a Recommendation System for Chinese Dishes
Yiting Ji, Yu Zeng, Yogi Huang

Attribute extraction from eCommerce product descriptions
Mikhail Sidorov

Identifying Human Trafficking: Using Machine Learning to Detect Trafficking from Online Sex Ads
Josh DuFault

Patterns Underlying Musical Criticism: Modeling the Scoring of Pitchfork's Album Reviews
Rob Jones

Categorizing Reddit Comments
Alexander Rucker

Exploring Distributed Representations of Words
Santiago Aranguri, Nik Castro, Louie Kam

Fine-grained Sentiment Analysis User Reviews in Chinese
Suofei Feng, Eziz Durdyev

Delete Retrieve Generalize
Nathan Dass, David Liang, David Golub

semi naive bayes
Kevin Lan

Detecting Opinionated Language from News Articles
Horace Chu, Renee Cai

Synthesizing Programs from Specifications
Sakshi Namdeo, Sumith Kulal

Text to Image Retrieval on Cuisine Description and Food Images
Yang Wang, Xiaoqin Zhou

Automatic Knowledge Extraction for News Articles
Linying Yang, Mengtian Jin, Yilong Li

Bot or Not: A Russian Troll Classifier
Cherie Xu, Harrison Bronsfeld

Improving Context-Aware Semantic Relationships in Sparse Mobile Datasets
Peter Hansel, Nik Marda, William Yin

HEEM: Holistic Entity Evaluation Metric
Alan Salimov

Machine Learning techniques in optimization of design of flexible circuits
Ren Gibbons, Prajwal.K.A

Early prediction of battery lifetime
Peter Attia, Marc Deetjen, Jeremy Witmer

A data-driven approach for predicting elastic properties of inorganic materials
Camila Cendra

Classifying Plug Load Devices Using Low-Frequency Electricity Consumption
Robert Young

AI for Scientific Discovery
Anthony Corso

Analyzing Wildfire Dynamics in Northern California
Caroline Famiglietti, Natan Holtzman, Jake Campolo

Learning a Low-Level Motor Controller for UAVs
Joseph Lorenzetti

Generation of thin-film optical devices with variational auto-encoding
John Roberts

Learning Chemistry, Moment by Moment
Allegra Latimer, Colin Dickens

Machine Learning for Materials Band Gap Prediction
Ilan Rosen, Jacob Marks

Bismuth Vanadate (111) facet detection
Zixi Liu, Wanling Liu, Jiyao Yuan

Reducing the ATHENA WFI background
Xuehao Ding

AI is the New Electricity
Shagun Goel, Kevin Hu

EFFICIENT NEURAL NETWORK IMPLEMENTATION OF THE UNIVERSEMACHINE
Chun-Hao To, Ethan Nadler

Clustering Reduced Order Models for Computational Fluid Dynamics
Gabriele Boncoraglio, Forest Fraser

Real time P- and S- wave first arrival picking using neural network
Wei Chu, Iris Yang

Electric Vehicle Residential Charging Characterization
Justin Luke, Robert Spragg, Antonio Aguilar

Reconstructing porous media using generative adversarial networks
Kelly Guan, Timothy Anderson

Multi-Objective Autonomous Spacecraft Motion Planning around Near-Earth Asteroids using Machine Learning
Tommaso Guffanti

Using machine learning tools to study excited oxygen atom kinetics
Yang Li

Additive Manufacturing Path-Planning using Reinforcement Learning
Gradey Wang

Error Analysis of Upscaled Reservoir Models
Tianrui Ye, Filippos Kostakis

Appliance-level Residential Consumer Segmentation from Smart Meter Data
Lily Buechler, Zonghe Chua

Short-Term Real-World Wave Height Predictions using a Neural Network
Adam Zufall, Amy Wang

Pulse Characterization from Raw Data for CDMS
Francesco Insulla, Chris Stanford

Multi-label Classification of Undetermined Stellar Objects
Jenny Knall, Patricio Arrangoiz, Solomon Barth

Chaos Learning : Machine Learning to characterize Chaotic Systems
Sougata Hazra, Joel Martis, Rishabh A. Kothari

Smart Data Augmentation for Reaction Rates Prediction Model
Vincent Dufour-Decieux

A generative model for computing electromagnetic field solutions
Ben Bartlett

Machine learning approach to formulate a constitutive model for FCC metals based on various loading orientation data
Hamed Akhondzadeh

Hybrid GMM and CNN model for Protein Localization Classification
Jonathan Deaton, Luke Sturm, Robert Neff

Predicting Critical Temperature for Superconductivity
Vivek Shah

Predicting Brown Dwarf Atmosphere Models with Machine Learning
Alex Madurowicz

Optimization of a hydrogen supply chain
Calvin McSweeny, Malik Boudiaf, Zoé Ghiron

Fluid Simulations with CNNs
Andrew Eberhardt, Alvaro Zamora

Recognition of sub-resolution geological features from seismic data
Riyad Muradov, Obai Shaikh

Mood and Neurological Disorder Prediction using Head Movement Data during Virtual Reality Experience
Cooper Raterink, John Hewitt, Sarah Ciresi

Improving healthcare cost prediction with XGBoost and social determinants of health
Behzad Haghgoo, Michael Ko

Re-Evolutionary Algorithms
Fatma Tlili , Kaushik Ram, Devang Agrawal

Reducing the variance of Evolutionary Strategies and exploring optimizations in Reinforcement Learning
Priyal Mehta

Machine Learning for Pilotta
George Panagopoulos

Training Examples that Matter: Explorations of Influence
Kai-Siang Ang

Applying deep Q learning/policy gradient to Lunar Lander and the stock market
Caitlin Stanton, Beite Zhu

Deep Cue Learning: A Reinforcement Learning Agent for Playing Pool
Peiyu Liao, Nick Landy, Noah Katz

Defending Against Adversarial Attacks on Facial Recognition Models
Michael Karr, Andrew Milich

Policy Optimization Methods in Reinforcement Learning
Jennifer She

Robust Autonomous Driving for Disturbance Rejection
Rafael Rafailov, Garrett Taylor, Yiwen Zhang

Creating a Central Pattern Generator (CPG) Network for Solving Rhythmic-control Tasks in Reinforcement Learning
Jason Zhao, Vincent Liu, Nathaniel Lee, Ademi Adeniji

Adversarial Models of Reality (AMoRe)
Eric Zelikman, Nathan Schager

Caesar's Taxi Prediction Service
Paul Jolly, Varun Nambiar, Boxiao Pan

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