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Poster
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
Poster
Tue 8:00 Boosting for Control of Dynamical Systems
Naman Agarwal · Nataly Brukhim · Elad Hazan · Zhou Lu
Poster
Tue 8:00 FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
Aman Sinha · Matthew O'Kelly · Hongrui Zheng · Rahul Mangharam · John Duchi · Russ Tedrake
Poster
Tue 8:00 Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate
Yufeng Zhang · Qi Cai · Zhuoran Yang · Zhaoran Wang
Poster
Tue 9:00 Lookahead-Bounded Q-learning
Ibrahim El Shar · Daniel Jiang
Poster
Tue 9:00 Variational Imitation Learning with Diverse-quality Demonstrations
Voot Tangkaratt · Bo Han · Mohammad Emtiyaz Khan · Masashi Sugiyama
Poster
Tue 9:00 Task-Oriented Active Perception and Planning in Environments with Partially Known Semantics
Mahsa Ghasemi · Erdem Bulgur · Ufuk Topcu
Poster
Tue 10:00 Optimally Solving Two-Agent Decentralized POMDPs Under One-Sided Information Sharing
Yuxuan Xie · Jilles Dibangoye · Olivier Buffet
Poster
Tue 10:00 Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning
Tom Jurgenson · Or Avner · Edward Groshev · Aviv Tamar
Poster
Tue 11:00 Kernel Methods for Cooperative Multi-Agent Contextual Bandits
Abhimanyu Dubey · Alex `Sandy' Pentland
Poster
Tue 11:00 Stochastically Dominant Distributional Reinforcement Learning
John Martin · Michal Lyskawinski · Xiaohu Li · Brendan Englot
Poster
Tue 12:00 Learning Portable Representations for High-Level Planning
Steven James · Benjamin Rosman · George Konidaris