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Workshop
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Rewards Encoding Environment Dynamics Improves Preference-based Reinforcement Learning
Katherine Metcalf · Miguel Sarabia · Barry-John Theobald
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Workshop
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Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences
Lin Guan · Karthik Valmeekam · Subbarao Kambhampati
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Workshop
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Symbol Guided Hindsight Priors for Reward Learning from Human Preferences
Mudit Verma · Katherine Metcalf
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Workshop
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Sat 12:35
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Anca Dragan: Learning human preferences from language
Anca Dragan
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Workshop
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Efficient Preference-Based Reinforcement Learning Using Learned Dynamics Models
Yi Liu · Gaurav Datta · Ellen Novoseller · Daniel Brown
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Poster
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Wed 9:00
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Explaining Preferences with Shapley Values
Robert Hu · Siu Lun Chau · Jaime Ferrando Huertas · Dino Sejdinovic
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Workshop
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Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansion
Utkarsh Soni · Sarath Sreedharan · Mudit Verma · Lin Guan · Matthew Marquez · Subbarao Kambhampati
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Poster
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Tue 14:00
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Diversified Recommendations for Agents with Adaptive Preferences
William Brown · Arpit Agarwal
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Poster
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Wed 14:00
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How Would The Viewer Feel? Estimating Wellbeing From Video Scenarios
Mantas Mazeika · Eric Tang · Andy Zou · Steven Basart · Jun Shern Chan · Dawn Song · David Forsyth · Jacob Steinhardt · Dan Hendrycks
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Poster
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Tue 9:00
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Learning from Stochastically Revealed Preference
John Birge · Xiaocheng Li · Chunlin Sun
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Poster
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Thu 9:00
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Invariance Learning based on Label Hierarchy
Shoji Toyota · Kenji Fukumizu
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Poster
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Thu 9:00
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Unsupervised Learning of Equivariant Structure from Sequences
Takeru Miyato · Masanori Koyama · Kenji Fukumizu
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