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Workshop
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A Game-Theoretic Perspective of Generalization in Reinforcement Learning
Chang Yang · RUIYU WANG · Xinrun Wang · Zhen Wang
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Workshop
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NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning
Buyun Liang · Tim Mitchell · Ju Sun
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Poster
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Wed 9:00
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Challenging Common Assumptions in Convex Reinforcement Learning
Mirco Mutti · Riccardo De Santi · Piersilvio De Bartolomeis · Marcello Restelli
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Poster
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I2Q: A Fully Decentralized Q-Learning Algorithm
Jiechuan Jiang · Zongqing Lu
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Workshop
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Meta-learning of Black-box Solvers Using Deep Reinforcement Learning
Cedric Malherbe · Aladin Virmaux · Ludovic Dos Santos · Sofian Chaybouti
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Poster
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Mildly Conservative Q-Learning for Offline Reinforcement Learning
Jiafei Lyu · Xiaoteng Ma · Xiu Li · Zongqing Lu
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Poster
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Multiagent Q-learning with Sub-Team Coordination
Wenhan Huang · Kai Li · Kun Shao · Tianze Zhou · Matthew Taylor · Jun Luo · Dongge Wang · Hangyu Mao · Jianye Hao · Jun Wang · Xiaotie Deng
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Poster
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Thu 9:00
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An Analytical Theory of Curriculum Learning in Teacher-Student Networks
Luca Saglietti · Stefano Mannelli · Andrew Saxe
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Poster
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Thu 9:00
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Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers
Colin Wei · Yining Chen · Tengyu Ma
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Competition
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Thu 4:50
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Transfer Learning Award: Team SI Analytics - Domain Generalization Strategy to Train Classifiers Robust to Spatial-Temporal Shift
Yeji Choi
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Poster
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Wed 9:00
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A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning
Zhenyu Sun · Ermin Wei
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Workshop
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Adversarial Robustness of Deep Inverse Reinforcement Learning
Ezgi Korkmaz
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