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Tue 7:00 Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study
Tanner Fiez · Benjamin Chasnov · Lillian Ratliff
Tue 7:00 Q-value Path Decomposition for Deep Multiagent Reinforcement Learning
Yaodong Yang · Jianye Hao · Guangyong Chen · Hongyao Tang · Yingfeng Chen · Yujing Hu · Changjie Fan · Zhongyu Wei
Tue 8:00 Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate
Yufeng Zhang · Qi Cai · Zhuoran Yang · Zhaoran Wang
Tue 8:00 Distributed Online Optimization over a Heterogeneous Network
Nima Eshraghi · Ben Liang
Tue 8:00 Boosting for Control of Dynamical Systems
Naman Agarwal · Nataly Brukhim · Elad Hazan · Zhou Lu
Tue 9:00 Task-Oriented Active Perception and Planning in Environments with Partially Known Semantics
Mahsa Ghasemi · Erdem Bulgur · Ufuk Topcu
Tue 9:00 Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination
Somdeb Majumdar · Shauharda Khadka · Santiago Miret · Stephen Mcaleer · Kagan Tumer
Tue 10:00 Optimally Solving Two-Agent Decentralized POMDPs Under One-Sided Information Sharing
Yuxuan Xie · Jilles Dibangoye · Olivier Buffet
Tue 11:00 Kernel Methods for Cooperative Multi-Agent Contextual Bandits
Abhimanyu Dubey · Alex `Sandy' Pentland
Tue 12:00 Entropy Minimization In Emergent Languages
Eugene Kharitonov · Rahma Chaabouni · Diane Bouchacourt · Marco Baroni
Tue 13:00 Growing Action Spaces
Gregory Farquhar · Laura Gustafson · Zeming Lin · Shimon Whiteson · Nicolas Usunier · Gabriel Synnaeve
Tue 14:00 OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning
Alexander Vezhnevets · Yuhuai Wu · Maria Eckstein · RĂ©mi Leblond · Joel Z Leibo