Workshop

Rewards Encoding Environment Dynamics Improves Preference-based Reinforcement Learning
Katherine Metcalf · Miguel Sarabia · Barry-John Theobald

Workshop

Symbol Guided Hindsight Priors for Reward Learning from Human Preferences
Mudit Verma · Katherine Metcalf

Workshop

Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences
Lin Guan · Karthik Valmeekam · Subbarao Kambhampati

Workshop

Sat 12:35

Anca Dragan: Learning human preferences from language
Anca Dragan

Workshop

Efficient Preference-Based Reinforcement Learning Using Learned Dynamics Models
Yi Liu · Gaurav Datta · Ellen Novoseller · Daniel Brown

Poster

Wed 9:00

Explaining Preferences with Shapley Values
Robert Hu · Siu Lun Chau · Jaime Ferrando Huertas · Dino Sejdinovic

Workshop

Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansion
Utkarsh Soni · Sarath Sreedharan · Mudit Verma · Lin Guan · Matthew Marquez · Subbarao Kambhampati

Poster

Tue 14:00

Diversified Recommendations for Agents with Adaptive Preferences
William Brown · Arpit Agarwal

Poster

Tue 9:00

Learning from Stochastically Revealed Preference
John Birge · Xiaocheng Li · Chunlin Sun

Poster

Wed 14:00

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

Poster

Thu 9:00

Invariance Learning based on Label Hierarchy
Shoji Toyota · Kenji Fukumizu

Poster

Thu 9:00

Unsupervised Learning of Equivariant Structure from Sequences
Takeru Miyato · Masanori Koyama · Kenji Fukumizu

Results