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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
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
Poster
Thu 9:00 Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis
Anton Plaksin · Stepan Martyanov
Affinity Workshop
Model Averaging to Learn Bayesian Network Structures with Non-Linear Structured Representations
Charupriya Sharma
Competition
Tue 13:35 Modeling sensorimotor circuits with task-driven and reinforcement learning
Workshop
Deep Reinforcement Learning Policies in the Frequency Domain
Ezgi Korkmaz