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25 Results
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Poster
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Thu 9:00 |
Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers Ran Liu · Mehdi Azabou · Max Dabagia · Jingyun Xiao · Eva Dyer |
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Poster
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Tue 9:00 |
Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems Shicheng Liu · Minghui Zhu |
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Poster
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Thu 9:00 |
UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification Yanbo Xu · Alind Khare · Glenn Matlin · Monish Ramadoss · Rishikesan Kamaleswaran · Chao Zhang · Alexey Tumanov |
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Poster
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Heterogeneous Skill Learning for Multi-agent Tasks Yuntao Liu · Yuan Li · Xinhai Xu · Yong Dou · Donghong Liu |
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Affinity Workshop
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Multi-task Representation Learning for Renewable Energy Systems Chandana Priya Nivarthi · Stephan Vogt · Bernhard Sick |
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Affinity Workshop
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Using Epidemic Multi-agent Synthetic Datasets for Predictions in Communication Networks: An LSTM Perspective ChukwuNonso H Nwokoye · Chukwuemeka E Etodike · Queen Nkechi Chigbue |
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Poster
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Tue 9:00 |
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems Miguel Suau · Jinke He · Mustafa Mert Çelikok · Matthijs Spaan · Frans Oliehoek |
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Poster
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Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu · dapeng li · Bin Zhang · Yuan Zhan · Yunpeng Baiia · Guoliang Fan |
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Poster
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Tue 9:00 |
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds Aritra Mitra · Arman Adibi · George J. Pappas · Hamed Hassani |
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Poster
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Thu 14:00 |
Semi-Supervised Generative Models for Multiagent Trajectories Dennis Fassmeyer · Pascal Fassmeyer · Ulf Brefeld |
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Poster
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Thu 9:00 |
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction Zehao Yu · Songyou Peng · Michael Niemeyer · Torsten Sattler · Andreas Geiger |
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Poster
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Thu 9:00 |
Learning Active Camera for Multi-Object Navigation Peihao Chen · Dongyu Ji · Kunyang Lin · Weiwen Hu · Wenbing Huang · Thomas Li · Mingkui Tan · Chuang Gan |