Poster Session 3

---

Poster Session 3 (June 16, Friday, 13:00-14:00)

Click the headers to sort the table.

Poster #	Paper #	Authors	Paper title
1	83	Tanya Veeravalli, Maxim Raginsky	Nonlinear Controllability and Function Representation by Neural Stochastic Differential Equations
2	2	Kwangjun Ahn, Zakaria Mhammedi, Horia Mania, Zhang-Wei Hong, Ali Jadbabaie	Model Predictive Control via On-Policy Imitation Learning
3	27	Hengquan Guo, Zhu Qi, Xin Liu	Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints
4	80	Kehan Long, Yinzhuang Yi, Jorge Cortes, Nikolay Atanasov	Distributionally Robust Lyapunov Function Search Under Uncertainty
5	33	Tahiya Salam, Alice Kate Li, M. Ani Hsieh	Online Estimation of the Koopman Operator Using Fourier Features
6	113	Zihao Zhou, Rose Yu	Automatic Integration for Fast and Interpretable Neural Point Processes
7	116	Leilei Cui, Tamer Başar, Zhong-Ping Jiang	A Reinforcement Learning Look at Risk-Sensitive Linear Quadratic Gaussian Control
8	156	Kyle Beltran Hatch, Benjamin Eysenbach, Rafael Rafailov, Tianhe Yu, Ruslan Salakhutdinov, Sergey Levine, Chelsea Finn	Contrastive Example-Based Control
9	139	Yan Jiang, Wenqi Cui, Baosen Zhang, Jorge Cortes	Equilibria of Fully Decentralized Learning in Networked Systems
10	62	Xinyi Chen, Edgar Minasyan, Jason D. Lee, Elad Hazan	Regret Guarantees for Online Deep Control
11	173	Karthik Elamvazhuthi, Xuechen Zhang, Samet Oymak, Fabio Pasqualetti	Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs
12	98	Wenliang Liu, Kevin Leahy, Zachary Serlin, Calin Belta	CatlNet: Learning Communication and Coordination Policies from CaTL+ Specifications
13	76	Xiyu Deng, Christian Kurniawan, Adhiraj Chakraborty, Assane Gueye, Niangjun Chen, Yorie Nakahira	A Learning and Control Perspective for Microfinance
14	58	Lukas Kesper, Sebastian Trimpe, Dominik Baumann	Toward Multi-Agent Reinforcement Learning for Distributed Event-Triggered Control
15	137	Luke Bhan, Yuanyuan Shi, Miroslav Krstic	Operator Learning for Nonlinear Adaptive Control
16	146	Yecheng Jason Ma, Kausik Sivakumar, Jason Yan, Osbert Bastani, Dinesh Jayaraman	Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching
17	69	Guanru Pan, Ruchuan Ou, Timm Faulwasser	Data-driven Stochastic Output-Feedback Predictive Control: Recursive Feasibility through Interpolated Initial Conditions
18	67	Zhaolin Ren, Yang Zheng, Maryam Fazel, Na Li	On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds
19	55	Tsun-Hsuan Wang, Wei Xiao, Makram Chahine, Alexander Amini, Ramin Hasani, Daniela Rus	Learning Stability Attention in Vision-based End-to-end Driving Policies
20	86	Harrison Delecki, Anthony Corso, Mykel Kochenderfer	Model-based Validation as Probabilistic Inference
21	165	Kaustubh Sridhar, Souradeep Dutta, James Weimer, Insup Lee	Guaranteed Conformance of Neurosymbolic Models to Natural Constraints
22	44	Antoine Leeman, Johannes Köhler, Samir Bennani, Melanie Zeilinger	Predictive safety filter using system level synthesis
23	153	Sarper Aydin, Ceyhun Eksin	Policy Gradient Play with Networked Agents in Markov Potential Games
24	100	Yuyang Zhang, Runyu Zhang, Gen Li, Yuantao Gu, Na Li	Multi-Agent Reinforcement Learning with Reward Delays
25	117	Thomas Beckers, Qirui Wu, George J. Pappas	Physics-enhanced Gaussian Process Variational Autoencoder
26	10	Baris Kayalibay, Atanas Mirchev, Ahmed Agha, Patrick van der Smagt, Justin Bayer	Filter-Aware Model-Predictive Control
27	82	Saminda Wishwajith 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 Slotine, Stephen Tu	Agile Catching with Whole-Body MPC and Blackbox Policy Learning
28	107	Swaminathan Gurumurthy, Zachary Manchester, J Zico Kolter	Practical Critic Gradient based Actor Critic for On-Policy Reinforcement Learning