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Poster
Thu 9:00 A Boosting Approach to Reinforcement Learning
Nataly Brukhim · Elad Hazan · Karan Singh
Poster
Thu 9:00 Non-convex online learning via algorithmic equivalence
Udaya Ghai · Zhou Lu · Elad Hazan
Workshop
Optimal Complexity in Non-Convex Decentralized Learning over Time-Varying Networks
Xinmeng Huang · Kun Yuan
Poster
I2Q: A Fully Decentralized Q-Learning Algorithm
Jiechuan Jiang · Zongqing Lu
Workshop
Meta-learning of Black-box Solvers Using Deep Reinforcement Learning
Cedric Malherbe · Aladin Virmaux · Ludovic Dos Santos · Sofian Chaybouti
Poster
Mildly Conservative Q-Learning for Offline Reinforcement Learning
Jiafei Lyu · Xiaoteng Ma · Xiu Li · Zongqing Lu
Poster
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
Workshop
Adversarial Robustness of Deep Inverse Reinforcement Learning
Ezgi Korkmaz
Workshop
Training Equilibria in Reinforcement Learning
Lauro Langosco · David Krueger · Adam Gleave
Poster
Tue 14:00 Online Agnostic Multiclass Boosting
Vinod Raman · Ambuj Tewari
Workshop
Improving Assistive Robotics with Deep Reinforcement Learning
Yash Jakhotiya · Iman Haque
Poster
Thu 9:00 SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning
Jianhong Wang · Yuan Zhang · Yunjie Gu · Tae-Kyun Kim