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Poster
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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 |
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Poster
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Tue 7:00 |
Taylor Expansion Policy Optimization Yunhao Tang · Michal Valko · Remi Munos |
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Poster
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Tue 8:00 |
Working Memory Graphs Ricky Loynd · Roland Fernandez · Asli Celikyilmaz · Adith Swaminathan · Matthew Hausknecht |
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Poster
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Tue 8:00 |
Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards Umer Siddique · Paul Weng · Matthieu Zimmer |
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Poster
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Tue 9:00 |
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination Somdeb Majumdar · Shauharda Khadka · Santiago Miret · Stephen Mcaleer · Kagan Tumer |
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Poster
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Tue 9:00 |
Hierarchically Decoupled Imitation For Morphological Transfer Donald Hejna · Lerrel Pinto · Pieter Abbeel |
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Poster
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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 |
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Poster
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Tue 9:00 |
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences Daniel Brown · Russell Coleman · Ravi Srinivasan · Scott Niekum |
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Poster
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Tue 9:00 |
Learning Compound Tasks without Task-specific Knowledge via Imitation and Self-supervised Learning Sang-Hyun Lee · Seung-Woo Seo |
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Poster
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Tue 9:00 |
Variational Imitation Learning with Diverse-quality Demonstrations Voot Tangkaratt · Bo Han · Mohammad Emtiyaz Khan · Masashi Sugiyama |
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Poster
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Tue 10:00 |
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods Adam Stooke · Joshua Achiam · Pieter Abbeel |
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Poster
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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 |