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Poster
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Thu 21:00
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Model Inversion Networks for Model-Based Optimization
Aviral Kumar · Sergey Levine
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Poster
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Wed 9:00
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Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach
Alireza Fallah · Aryan Mokhtari · Asuman Ozdaglar
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Workshop
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Model-Agnostic Graph Regularization for Few-Shot Learning
Ethan Shen
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Poster
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Wed 21:00
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Entrywise convergence of iterative methods for eigenproblems
Vasileios Charisopoulos · Austin Benson · Anil Damle
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Workshop
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Poster: Modular Training, Integrated Planning Deep Reinforcement Learning for Mobile Robot Navigation
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Poster
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Mon 21:00
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Fighting Copycat Agents in Behavioral Cloning from Observation Histories
Chuan Wen · Jierui Lin · Trevor Darrell · Dinesh Jayaraman · Yang Gao
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Workshop
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Poster: Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning
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Workshop
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Poster: DREAM: Deep Regret minimization with Advantage baselines and Model-free learning
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Poster
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Thu 9:00
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PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals
Henry Charlesworth · Giovanni Montana
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Poster
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Tue 9:00
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AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control
Afshin Oroojlooy · Mohammadreza Nazari · Davood Hajinezhad · Jorge Silva
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Poster
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Wed 21:00
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Modeling and Optimization Trade-off in Meta-learning
Katelyn Gao · Ozan Sener
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Workshop
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Fairness in the Eyes of the Data: Certifying Machine-Learning Models
Carsten Baum
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