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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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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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Workshop
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Improving Assistive Robotics with Deep Reinforcement Learning
Yash Jakhotiya · Iman Haque
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Workshop
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Training Equilibria in Reinforcement Learning
Lauro Langosco · David Krueger · Adam Gleave
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Poster
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Wed 14:00
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Task-level Differentially Private Meta Learning
Xinyu Zhou · Raef Bassily
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Workshop
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Adversarial Robustness of Deep Inverse Reinforcement Learning
Ezgi Korkmaz
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Poster
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Thu 9:00
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SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning
Jianhong Wang · Yuan Zhang · Yunjie Gu · Tae-Kyun Kim
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Poster
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Thu 9:00
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Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis
Anton Plaksin · Stepan Martyanov
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Workshop
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Gray-Box Gaussian Processes for Automated Reinforcement Learning
Gresa Shala · André Biedenkapp · Frank Hutter · Josif Grabocka
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