Master's Theses & Technical Reports - Stuart J. Russell
5th Year M.S.
Autonomous Assessment of Demonstration Sufficiency
Alina Trinh [2024]
Explainable Classification of Nuclear Facility Operational State Using Node and Region Importance for Sensor Networks
Jake Tibbetts [2021]
Policy Transfer Algorithms for Meta Inverse Reinforcement Learning
Benjamin Kha [2019]
Arrhythmia Classification in Multi-Channel ECG Signals Using Deep Neural Networks
Kyungna Kim [2018]
Inductive Program Synthesis in BLOG
Jared Rulison [2018]
Uncertain Reward-Transition MDPs for Negotiable Reinforcement Learning
Nishant Desai [2017]
Monte Carlo Methods for Multiple Target Tracking and Parameter Estimation
Daniel Duckworth [2012]
M.S.
Joint State and Parameter Estimation in Temporal Models
Yusuf Erol [2018]
Shaping Model-Free Reinforcement Learning with Model-Based Pseudorewards
Paul Krueger [2017]
Coarse-to-fine MCMC in a seismic monitoring system
Xiaofei Zhou [2015]
Monte Carlo Methods for SLAM with Data Association Uncertainty
Constantin Berzan [2015]
Modeling Categorization as a Dirichlet Process Mixture
Kevin Canini [2007]