Papers
BIGE : Biomechanics-informed GenAI for Exercise Science
Shubh Maheshwari, Anwesh Mohanty, Yadi Cao et al.
NAPI-MPC: Neural Accelerated Physics-Informed MPC for Nonlinear PDE Systems
Peilun Li, Kaiyuan Tan, Thomas Beckers
Opt-ODENet: Neural ODE Controller Design with Differentiable Optimization Layers for Safety and Stability
Keyan Miao, Liqun Zhao, Han Wang et al.
Topological State Space Inference for Dynamical Systems
Mishal Assif P K, Yuliy Baryshnikov
“What are my options?": Explaining RL Agents with Diverse Near-Optimal Alternatives
Noel Brindise, Vijeth Hebbar, Riya Shah et al.
Reinforcement Learning from Multi-level and Episodic Human Feedback
Muhammad Qasim Elahi, Somtochukwu Oguchienti, Maheed H. Ahmed et al.
Abstraction-Based Control of Unknown Continuous-Space Models with Just Two Trajectories
Behrad Samari, Mahdieh Zaker, Abolfazl Lavaei
Back to Base: Towards Hands-Off Learning via Safe Resets with Reach-Avoid Safety Filters
Azra Begzadic, Nikhil Shinde, Sander Tonkens et al.
Imperative MPC: An End-to-End Self-Supervised Learning with Differentiable MPC for UAV Attitude Control
Haonan He, Yuheng Qiu, Junyi Geng
Data-driven optimal control of unknown nonlinear dynamical systems using the Koopman operator
Zhexuan Zeng, Ruikun Zhou, Yiming Meng et al.
CIKAN: Constraint Informed Kolmogorov-Arnold Networks for Autonomous Spacecraft Rendezvous using Time Shift Governor
Taehyeun Kim, Anouck Girard, Ilya Kolmanovsky
STLGame: Signal Temporal Logic Games in Adversarial Multi-Agent Systems
Shuo Yang, Hongrui Zheng, Cristian-Ioan Vasile et al.
QP Based Constrained Optimization for Reliable PINN Training
Alan Williams, Christopher Leon, Alexander Scheinker
A Theoretical Analysis of Soft-Label vs Hard-Label Training in Neural Networks
Saptarshi Mandal, Xiaojun Lin, Rayadurgam Srikant
Neuro-Symbolic Deadlock Resolution in Multi-Robot Systems
Ruiyang Wang, Bowen He, Miroslav Pajic
Lyapunov Perception Contracts for Operating Design Domains
Yangge Li, Chenxi Ji, Jai Anchalia et al.
Kernel-Based Optimal Control: An Infinitesimal Generator Approach
Petar Bevanda, Nicolas Hoischen, Tobias Wittmann et al.
Meta-Learning for Adaptive Control with Automated Mirror Descent
Sunbochen Tang, Haoyuan Sun, Navid Azizan
A Dynamic Penalization Framework for Online Rank-1 Semidefinite Programming Relaxations
Ahmad Al-Tawaha, Javad Lavaei, Ming Jin
Symmetries-enhanced Multi-Agent Reinforcement Learning
Nikolaos Bousias, Stefanos Pertigkiozoglou, Kostas Daniilidis et al.
A-NC: Adaptive Neural Control with implicit online inference of privileged parameters
Marcin Paluch, Florian Bolli, Pehuen Moure et al.
Neural Network-assisted Interval Reachability for Systems with Control Barrier Function-Based Safe Controllers
Damola Ajeyemi, Saber Jafarpour, Emiliano Dall’Anese
$α$-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function
Dvij Kalaria, Chinmay Maheshwari, Shankar Sastry
LiveNet: Robust, Minimally Invasive Multi-Robot Control for Safe and Live Navigation in Constrained Environments
Srikar Gouru, Siddharth Lakkoju, Rohan Chandra
Realizable Continuous-Space Shields for Safe Reinforcement Learning
Kyungmin Kim, Davide Corsi, Andoni Rodrı́guez et al.