most citedAutonomous Assessment of Demonstration Sufficiency via Bayesian Inverse Reinforcement Learning

6 citations · 7 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

ODC: Orthogonal Drift Correction for Improved Text-to-Image Semantic Alignment at Inference

Kasra Kamali, Basim Azam, Tuan Duong Trinh +2

Text-to-image models have achieved remarkable success in generating high-quality images from textual descriptions. However, they often struggle with "semantic drift," where the gen…

cs.RO2026

Reasoning as a Double-Edged Sword: Architecture and Cross-Stage Robustness in Vision-Language-Action Models

Tuan Duong Trinh, Naveed Akhtar, Basim Azam

Does adding a reasoning step make a Vision-Language-Action (VLA) model more robust to perturbation? Intuitively, a policy that reasons before acting should absorb a perturbed input…

cs.RO2026

Altered Thoughts, Altered Actions: Reasoning Chain as Control Surface for a Vision-Language-Action Policy

Tuan Duong Trinh, Naveed Akhtar, Basim Azam +2

Vision-language-action policies map camera images and natural-language instructions to a robot's motor actions. Some of these policies are designed to reason in text before acting,…

cs.LG2022★ 6 cited

Autonomous Assessment of Demonstration Sufficiency via Bayesian Inverse Reinforcement Learning

Tu Trinh, Haoyu Chen, Daniel S. Brown

We examine the problem of determining demonstration sufficiency: how can a robot self-assess whether it has received enough demonstrations from an expert to ensure a desired level…

cs.RO2022★ 1 cited

Efficient Game-Theoretic Planning with Prediction Heuristic for Socially-Compliant Autonomous Driving

Chenran Li, Tu Trinh, Letian Wang +3

Planning under social interactions with other agents is an essential problem for autonomous driving. As the actions of the autonomous vehicle in the interactions affect and are als…