Search Results
A Learning-based Strategy for Shape-Control of Multi-Agent Systems with a Lagrangian Neural Network
Muses: Enabling Lightweight and Diversity for Learning Based Congestion Control
Learning-Based Distributionally Robust Motion Control with Gaussian Processes
Control of Mixed-Autonomy Traffic via Deep-RL
Jacopo Panerati on Safe Learning-based Control for Robotics | Toronto AIR Seminar
UAI 2024 Oral Session 1: Deep Learning
Real-world Reinforcement Learning in Multi-Agent Systems | Eugene Vinitsky
RSS 2022 Paper Session 6
Offline Reinforcement Learning
ICRA 2022 - Adaptive Dynamic Sliding Mode Control of Soft Continuum Manipulators
IROS'24 MAD Games: Multi-Agent Dynamic Games Workshop - Contributed Session 2
Prof. Daniel Tartakovsky, Stanford University
