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Workshop
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Raisin: Residual Algorithms for Versatile Offline Reinforcement Learning
Braham Snyder · Yuke Zhu
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Workshop
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PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm
Toygun Basaklar · Suat Gumussoy · Umit Ogras
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Workshop
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A study of natural robustness of deep reinforcement learning algorithms towards adversarial perturbations
Qisai Liu · Xian Yeow Lee · Soumik Sarkar
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Poster
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I2Q: A Fully Decentralized Q-Learning Algorithm
Jiechuan Jiang · Zongqing Lu
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Poster
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Thu 9:00
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Non-convex online learning via algorithmic equivalence
Udaya Ghai · Zhou Lu · Elad Hazan
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Workshop
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Rethinking Learning Dynamics in RL using Adversarial Networks
Ramnath Kumar · Tristan Deleu · Yoshua Bengio
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Workshop
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Out-of-Distribution Generalization in Algorithmic Reasoning Through Curriculum Learning
Andrew Nam · Mustafa Abdool · Trevor Maxfield · James McClelland
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Workshop
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A Unified Framework for Comparing Learning Algorithms
Harshay Shah · Sung Min Park · Andrew Ilyas · Aleksander Madry
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Poster
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Wed 14:00
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Algorithms and Hardness for Learning Linear Thresholds from Label Proportions
Rishi Saket
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Poster
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Thu 9:00
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Weakly Supervised Representation Learning with Sparse Perturbations
Kartik Ahuja · Jason Hartford · Yoshua Bengio
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Workshop
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ProxSkip for Stochastic Variational Inequalities: A Federated Learning Algorithm for Provable Communication Acceleration
Siqi Zhang · Nicolas Loizou
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Poster
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Trading Off Resource Budgets For Improved Regret Bounds
Thomas Orton · Damon Falck
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