PhD Student
Aashish Gottipati
University of Texas at Austin
Fourth-year PhD student advised by Lili Qiu, specializing in applying reinforcement learning to build networked systems that continuously learn and adapt to the real world.
RL for Systems
Optimizing systems through RL
LLMs for Systems
Automating system design with LLMs
Robotics
Exploratory works in progress
World Modeling for Planning and Control
Developing predictive models of the environment to enable more efficient and robust planning.
Uncertainty Estimation in World Models
Quantifying predictive uncertainty in world models to enable risk-aware planning.
Extracting Policies from World Models
Investigating methods for deriving optimal behaviors directly from learned world models.