3 papers
cs.LG2026
Model-Free Neural Filtering: A Comparison with Classical Filters in Nonlinear Systems
Zhuochen Liu, Hans Walker, Rahul Jain
Neural network models are increasingly used for state estimation in control and decision-making, yet it remains unclear to what extent they behave as principled filters in nonlinea…
cs.RO2025
Benchmarking Autonomous Driving Planners Across Leaderboards: A Unified CARLA-Based Evaluation
Merve Atasever, Alfredo Reina Corona, Zhuochen Liu +5
Autonomous driving remains a highly active research domain that seeks to enable vehicles to perceive dynamic environments, predict the future trajectories of traffic agents such as…
cs.LG2025
RANDPOL: Parameter-Efficient End-to-End Quadruped Locomotion via Randomized Policy Learning
Zhuochen Liu, Rahul Jain, Quan Nguyen
Modern learning-based locomotion controllers typically rely on fully trainable deep neural networks with a large number of parameters. This paper studies a different design point f…