8 citations · 13 across the 6 of their papers we have counts for
6 papers
Accelerated Learning with Linear Temporal Logic using Differentiable Simulation
Alper Kamil Bozkurt, Calin Belta, Ming C. Lin
Ensuring that reinforcement learning (RL) controllers satisfy safety and reliability constraints in real-world settings remains challenging: state-avoidance and constrained Markov…
Towards Driving Policies with Personality: Modeling Behavior and Style in Risky Scenarios via Data Collection in Virtual Reality
Laura Zheng, Julio Poveda, James Mullen +2
Autonomous driving research currently faces data sparsity in representation of risky scenarios. Such data is both difficult to obtain ethically in the real world, and unreliable to…
Differentiable Analog Quantum Computing for Optimization and Control
Jiaqi Leng, Yuxiang Peng, Yi-Ling Qiao +2
We formulate the first differentiable analog quantum computing framework with a specific parameterization design at the analog signal (pulse) level to better exploit near-term quan…
NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos
Yi-Ling Qiao, Alexander Gao, Ming C. Lin
We present a method for learning 3D geometry and physics parameters of a dynamic scene from only a monocular RGB video input. To decouple the learning of underlying scene geometry…
Differentiable Hybrid Traffic Simulation
Sanghyun Son, Yi-Ling Qiao, Jason Sewall +1
We introduce a novel differentiable hybrid traffic simulator, which simulates traffic using a hybrid model of both macroscopic and microscopic models and can be directly integrated…
Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation
Laura Zheng, Sanghyun Son, Ming C. Lin
While there have been advancements in autonomous driving control and traffic simulation, there have been little to no works exploring their unification with deep learning. Works in…