L4DC accepted: Our paper “Mission-driven exploration for accelerated deep reinforcement learning with temporal logic task specifications” has been accepted for 7th Annual Learning for Dynamics & Control Conference (L4DC) 2025! Check our Project Webpage!
IEEE RA-L accepted: Our paper “Probabilistically Correct Language-based Multi-Robot Planning using Conformal Prediction” has been accepted for the IEEE Robotics and Automation Letters (RA-L)! Check our Project Webpage!
IEEE TAC accepted: Our paper “Sample-Efficient Reinforcement Learning with Temporal Logic Objectives: Leveraging the Task Specification to Guide Exploration” has been accepted for the IEEE Transactions on Automatic Control!
AAAI accepted: Our paper “Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis” has been accepted for the SRRAI Special Track at the Conference on Artificial Intelligence (AAAI-24)!
HERACLEs: Our paper “Conformal Temporal Logic Planning using Large Language Models: Knowing When to Do What and When to Ask for Help” has project webpage online over HERE!
L4DC Accepted: Our paper “Targeted Adversarial Attacks against Neural Network Trajectory Predictors” has been accepted to 5th Annual Learning for Dynamics & Control Conference (L4DC)!
IEEE CDC Accepted: Our paper “Verified Compositions of Neural Network Controllers for Temporal Logic Control Objectives” has been accepted to IEEE Conference on Decision and Control (CDC) 2022!
SLB Research: Happy to share that I will join Schlumberger as a summer intern in 2021!