115 Results

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