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Poster
Tue 7:00 What Can Learned Intrinsic Rewards Capture?
Zeyu Zheng · Junhyuk Oh · Matteo Hessel · Zhongwen Xu · Manuel Kroiss · Hado van Hasselt · David Silver · Satinder Singh
Poster
Tue 7:00 Taylor Expansion Policy Optimization
Yunhao Tang · Michal Valko · Remi Munos
Poster
Tue 8:00 Working Memory Graphs
Ricky Loynd · Roland Fernandez · Asli Celikyilmaz · Adith Swaminathan · Matthew Hausknecht
Poster
Tue 8:00 Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards
Umer Siddique · Paul Weng · Matthieu Zimmer
Poster
Tue 9:00 Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination
Somdeb Majumdar · Shauharda Khadka · Santiago Miret · Stephen Mcaleer · Kagan Tumer
Poster
Tue 9:00 Hierarchically Decoupled Imitation For Morphological Transfer
Donald Hejna · Lerrel Pinto · Pieter Abbeel
Poster
Tue 9:00 Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
Rui Wang · Joel Lehman · Aditya Rawal · Jiale Zhi · Yulun Li · Jeffrey Clune · Kenneth Stanley
Poster
Tue 9:00 Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences
Daniel Brown · Russell Coleman · Ravi Srinivasan · Scott Niekum
Poster
Tue 9:00 Learning Compound Tasks without Task-specific Knowledge via Imitation and Self-supervised Learning
Sang-Hyun Lee · Seung-Woo Seo
Poster
Tue 9:00 Variational Imitation Learning with Diverse-quality Demonstrations
Voot Tangkaratt · Bo Han · Mohammad Emtiyaz Khan · Masashi Sugiyama
Poster
Tue 10:00 Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
Adam Stooke · Joshua Achiam · Pieter Abbeel
Poster
Tue 10:00 Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
Zhaohan Guo · Bernardo Avila Pires · Bilal Piot · Jean-Bastien Grill · Florent Altché · Remi Munos · Mohammad Gheshlaghi Azar