L4DC

Keyphrases

Publications

2023

Fernando Castañeda, Haruki Nishimura, Rowan Thomas McAllister, Koushil Sreenath, Adrien Gaidon
In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States. L4DC (2023)
Keyan Miao, Konstantinos Gatsis
Learning Robust State Observers using Neural ODEs. L4DC (2023)
Zhaolin Ren, Yang Zheng, Maryam Fazel, Na Li
On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds. L4DC (2023)
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning. L4DC (2023)
Armand Comas Massague, Christian Fernandez Lopez, Sandesh Ghimire, Haolin Li, Mario Sznaier, Octavia I. Camps
Learning Object-Centric Dynamic Modes from Video and Emerging Properties. L4DC (2023)
Spencer Hutchinson, Berkay Turan, Mahnoosh Alizadeh
The Impact of the Geometric Properties of the Constraint Set in Safe Optimization with Bandit Feedback. L4DC (2023)
Muhammad Abdullah Naeem, Miroslav Pajic
Transportation-Inequalities, Lyapunov Stability and Sampling for Dynamical Systems on Continuous State Space. L4DC (2023)
Alessio Russo
Analysis and Detectability of Offline Data Poisoning Attacks on Linear Dynamical Systems. L4DC (2023)
Yingying Li, James A. Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S. Shamma
Online switching control with stability and regret guarantees. L4DC (2023)
Sourya Dey, Eric William Davis
DLKoopman: A deep learning software package for Koopman theory. L4DC (2023)
Xiyu Deng, Christian Kurniawan, Adhiraj Chakraborty, Assane Gueye, Niangjun Chen, Yorie Nakahira
A Learning and Control Perspective for Microfinance. L4DC (2023)
Swaminathan Gurumurthy, J. Zico Kolter, Zachary Manchester
Deep Off-Policy Iterative Learning Control. L4DC (2023)
Hancheng Min, Enrique Mallada
Learning Coherent Clusters in Weakly-Connected Network Systems. L4DC (2023)
Orhan Eren Akgün, Arif Kerem Dayi, Stephanie Gil, Angelia Nedich
Learning Trust Over Directed Graphs in Multiagent Systems. L4DC (2023)
Paula Gradu, Elad Hazan, Edgar Minasyan
Adaptive Regret for Control of Time-Varying Dynamics. L4DC (2023)
Kehan Long, Yinzhuang Yi, Jorge Cortés, Nikolay Atanasov
Distributionally Robust Lyapunov Function Search Under Uncertainty. L4DC (2023)
Tanya Veeravalli, Maxim Raginsky
Nonlinear Controllability and Function Representation by Neural Stochastic Differential Equations. L4DC (2023)
Songyuan Zhang, Yumeng Xiu, Guannan Qu, Chuchu Fan
Compositional Neural Certificates for Networked Dynamical Systems. L4DC (2023)
Sampada Deglurkar, Michael H. Lim, Johnathan Tucker, Zachary N. Sunberg, Aleksandra Faust, Claire J. Tomlin
Compositional Learning-based Planning for Vision POMDPs. L4DC (2023)
Tobias Enders, James Harrison, Marco Pavone, Maximilian Schiffer
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems. L4DC (2023)
Yuyang Zhang, Runyu Zhang, Yuantao Gu, Na Li
Multi-Agent Reinforcement Learning with Reward Delays. L4DC (2023)
Michelle Guo, Yifeng Jiang, Andrew Everett Spielberg, Jiajun Wu, Karen Liu
Benchmarking Rigid Body Contact Models. L4DC (2023)
Srinath Tankasala, Mitch Pryor
Accelerating Trajectory Generation for Quadrotors Using Transformers. L4DC (2023)
Xinyi Chen, Edgar Minasyan, Jason D. Lee, Elad Hazan
Regret Guarantees for Online Deep Control. L4DC (2023)
Sydney Dolan, Siddharth Nayak, Hamsa Balakrishnan
Satellite Navigation and Coordination with Limited Information Sharing. L4DC (2023)
Luigi Campanaro, Daniele De Martini, Siddhant Gangapurwala, Wolfgang Merkt, Ioannis Havoutis
Roll-Drop: accounting for observation noise with a single parameter. L4DC (2023)
Yaqi Duan, Martin J. Wainwright
A finite-sample analysis of multi-step temporal difference estimates. L4DC (2023)
Antoine Leeman, Johannes Köhler, Samir Bennani, Melanie N. Zeilinger
Predictive safety filter using system level synthesis. L4DC (2023)
Yikun Cheng, Pan Zhao, Naira Hovakimyan
Safe and Efficient Reinforcement Learning using Disturbance-Observer-Based Control Barrier Functions. L4DC (2023)
Saminda Abeyruwan, Alex Bewley, Nicholas Matthew Boffi, Krzysztof Marcin Choromanski, David B. D'Ambrosio, Deepali Jain, Pannag R. Sanketi, Anish Shankar, Vikas Sindhwani, Sumeet Singh, Jean-Jacques E. Slotine, Stephen Tu
Agile Catching with Whole-Body MPC and Blackbox Policy Learning. L4DC (2023)
Sophia Huiwen Sun, Robin Walters, Jinxi Li, Rose Yu
Probabilistic Symmetry for Multi-Agent Dynamics. L4DC (2023)
Luke Bhan, Yuanyuan Shi, Miroslav Krstic
Operator Learning for Nonlinear Adaptive Control. L4DC (2023)
Tsun-Hsuan Wang, Wei Xiao, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus
Learning Stability Attention in Vision-based End-to-end Driving Policies. L4DC (2023)
Anushri Dixit, Lars Lindemann, Skylar X. Wei, Matthew Cleaveland, George J. Pappas, Joel W. Burdick
Adaptive Conformal Prediction for Motion Planning among Dynamic Agents. L4DC (2023)
Elie Aljalbout, Maximilian Karl, Patrick van der Smagt
CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces. L4DC (2023)
Tejas Pagare, Vivek S. Borkar, Konstantin Avrachenkov
Full Gradient Deep Reinforcement Learning for Average-Reward Criterion. L4DC (2023)
Tong Guanchun, Michael Muehlebach
A Dynamical Systems Perspective on Discrete Optimization. L4DC (2023)
Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots
Continuous Versatile Jumping Using Learned Action Residuals. L4DC (2023)
SooJean Han, Soon-Jo Chung, Johanna Gustafson
Congestion Control of Vehicle Traffic Networks by Learning Structural and Temporal Patterns. L4DC (2023)
Alex Devonport, Peter Seiler, Murat Arcak
Uncertainties. L4DC (2023)
Guillaume O. Berger, Sriram Sankaranarayanan
Template-Based Piecewise Affine Regression. L4DC (2023)
Sarper Aydin, Ceyhun Eksin
Policy Gradient Play with Networked Agents in Markov Potential Games. L4DC (2023)
Adrien Banse, Licio Romao, Alessandro Abate, Raphaël M. Jungers
Data-driven memory-dependent abstractions of dynamical systems. L4DC (2023)
Kyle Beltran Hatch, Benjamin Eysenbach, Rafael Rafailov, Tianhe Yu, Ruslan Salakhutdinov, Sergey Levine, Chelsea Finn
Contrastive Example-Based Control. L4DC (2023)
Lauren E. Conger, Sydney Vernon, Eric Mazumdar
Designing System Level Synthesis Controllers for Nonlinear Systems with Stability Guarantees. L4DC (2023)
Xu Zhang, Marcos M. Vasconcelos
Top-k data selection via distributed sample quantile inference. L4DC (2023)
Wenliang Liu, Kevin Leahy, Zachary Serlin, Calin Belta
CatlNet: Learning Communication and Coordination Policies from CaTL+ Specifications. L4DC (2023)
Patricia Pauli, Dennis Gramlich, Frank Allgöwer
Lipschitz constant estimation for 1D convolutional neural networks. L4DC (2023)
Guanru Pan, Ruchuan Ou, Timm Faulwasser
Data-driven Stochastic Output-Feedback Predictive Control: Recursive Feasibility through Interpolated Initial Conditions. L4DC (2023)

volume 211, 2023

Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA. L4DC 211 (2023)