conftrace_

L4DC 2023

114 papers

DiffTune$^+$: Hyperparameter-Free Auto-Tuning using Auto-Differentiation

Sheng Cheng, Lin Song, Minkyung Kim, Shenlong Wang, NAIRA HOVAKIMYAN

Contrastive Example-Based Control

Kyle Beltran Hatch, Benjamin Eysenbach, Rafael Rafailov, Tianhe Yu, Ruslan Salakhutdinov

Learning Trust Over Directed Graphs in Multiagent Systems

Orhan Eren Akgun, Arif Kerem Dayi, Stephanie Gil, Angelia Nedich

Improving Gradient Computation for Differentiable Physics Simulation with Contacts

Yaofeng Desmond Zhong, Jiequn Han, Biswadip dey, Georgia Olympia Brikis

Learning the dynamics of autonomous nonlinear delay systems

Xunbi Ji, Gábor Orosz

Safe and Efficient Reinforcement Learning using Disturbance-Observer-Based Control Barrier Functions

Yikun Cheng, Pan Zhao, NAIRA HOVAKIMYAN

ISAACS: Iterative Soft Adversarial Actor-Critic for Safety

Kai-Chieh Hsu, Duy Phuong Nguyen, Jaime Fernández Fisac

Guaranteed Conformance of Neurosymbolic Models to Natural Constraints

Kaustubh Sridhar, Souradeep Dutta, James Weimer, Insup Lee

Policy Learning for Active Target Tracking over Continuous $SE(3)$ Trajectories

Pengzhi Yang, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov

Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control?

Yi Tian, Kaiqing Zhang, Russ Tedrake, Suvrit Sra

Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold

Bilgehan Sel, Ahmad Tawaha, Yuhao Ding, Ruoxi Jia, Bo Ji

Physics-Informed Model-Based Reinforcement Learning

Adithya Ramesh, Balaraman Ravindran

Interval Reachability of Nonlinear Dynamical Systems with Neural Network Controllers

Saber Jafarpour, Akash Harapanahalli, Samuel Coogan

Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs

Karthik Elamvazhuthi, Xuechen Zhang, Samet Oymak, Fabio Pasqualetti