Poster Session 2 (June 15, Thursday, 16:30-17:30).
Click the headers to sort the table.
| Poster # | Paper # | Authors | Paper title |
|---|---|---|---|
| 1 | 73 | Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo | CT-DQN: Control-Tutored Deep Reinforcement Learning |
| 2 | 168 | Bilgehan Sel, Ahmad Tawaha, Yuhao Ding, Ruoxi Jia, Bo Ji, Javad Lavaei, Ming Jin | Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold |
| 3 | 41 | Daniel Tabas, Ahmed S Zamzam, Baosen Zhang | Interpreting Primal-Dual Algorithms for Constrained Multiagent Reinforcement Learning |
| 4 | 48 | Elie Aljalbout, Maximilian Karl, Patrick van der Smagt | CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces |
| 5 | 54 | Arnob Ghosh | Provably Efficient Model-free RL in Leader-Follower MDP with Linear Function Approximation |
| 6 | 21 | Guanchun Tong, Michael Muehlebach | A Dynamical Systems Perspective on Discrete Optimization |
| 7 | 114 | Paula Gradu, Elad Hazan, Edgar Minasyan | Adaptive Regret for Control of Time-Varying Dynamics |
| 8 | 142 | Anushri Dixit, Lars Lindemann, Skylar Wei, Matthew Cleaveland, George J. Pappas, Joel W. Burdick | Adaptive Conformal Prediction for Motion Planning among Dynamic Agents |
| 9 | 30 | Doumitrou Daniil Nimara, Mohammadreza Malek-Mohammadi, Petter Ogren, Jieqiang Wei, Vincent Huang | Model-Based Reinforcement Learning for Cavity Filter Tuning |
| 10 | 32 | Tobias Enders, James Harrison, Marco Pavone, Maximilian Schiffer | Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems |
| 11 | 154 | Sheng Cheng, Lin Song, Minkyung Kim, Shenlong Wang, Naira Hovakimyan | DiffTune+: Hyperparameter-Free Auto-Tuning using Auto-Differentiation |
| 12 | 118 | Guillaume O Berger, Sriram Sankaranarayanan | Template-Based Piecewise Affine Regression |
| 13 | 36 | Nick-Marios Kokolakis, Kyriakos G Vamvoudakis, Wassim Haddad | Reachability Analysis-based Safety-Critical Control using Online Fixed-Time Reinforcement Learning |
| 14 | 45 | Hancheng Min, Enrique Mallada | Learning Coherent Clusters in Weakly-Connected Network Systems |
| 15 | 157 | Orhan Eren Akgun, Arif Kerem Dayi, Stephanie Gil, Angelia Nedich | Learning Trust Over Directed Graphs in Multiagent Systems |
| 16 | 25 | Gautam Goel, Naman Agarwal, Karan Singh, Elad Hazan | Best of Both Worlds in Online Control: Competitive Ratio and Policy Regret |
| 17 | 131 | Taha Entesari, Mahyar Fazlyab | Automated Reachability Analysis of Neural Network-Controlled Systems via Adaptive Polytopes |
| 18 | 95 | Armand Comas, Christian Fernandez Lopez, Sandesh Ghimire, Haolin Li, Mario Sznaier, Octavia Camps | Learning Object-Centric Dynamic Modes from Video and Emerging Properties |
| 19 | 133 | Muhammad Abdullah Naeem | Concentration Phenomenon for Random Dynamical Systems: An Operator Theoretic Approach |
| 20 | 145 | Songyuan Zhang, Yumeng Xiu, Guannan Qu, Chuchu Fan | Compositional Neural Certificates for Networked Dynamical Systems |
| 21 | 140 | Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo Jovanovic | Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning |
| 22 | 128 | Lauren E Conger, Sydney Vernon, Eric Mazumdar | Designing System Level Synthesis Controllers for Nonlinear Systems with Stability Guarantees |
| 23 | 59 | Sydney Dolan, Siddharth Nayak, Hamsa Balakrishnan | Satellite Navigation and Coordination with Limited Information Sharing |
| 24 | 167 | Yi Tian, Kaiqing Zhang, Russ Tedrake, Suvrit Sra | Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control? |
| 25 | 120 | Tianqi Cui, Thomas Bertalan, George J. Pappas, Manfred Morari, Yannis Kevrekidis, Mahyar Fazlyab | Certified Invertibility in Neural Networks via Mixed-Integer Programming |
| 26 | 147 | Yitian Chen, Timothy Molloy, Tyler Summers, Iman Shames | Regret Analysis of Online LQR Control via Trajectory Prediction and Tracking |
| 27 | 112 | Thomas TCK Zhang, Katie Kang, Bruce D Lee, Claire Tomlin, Sergey Levine, Stephen Tu, Nikolai Matni | Multi-Task Imitation Learning for Linear Dynamical Systems |
| 28 | 79 | Jan Achterhold, Philip Tobuschat, Hao Ma, Dieter Büchler, Michael Muehlebach, Joerg Stueckler | Black-Box vs. Grey-Box: A Case Study on Learning Ping Pong Ball Trajectory Prediction with Spin and Impacts |
| 29 | 68 | Rishi Rani, Massimo Franceschetti | Detection of Man-in-the-Middle Attacks in Model-Free Reinforcement Learning |