2019
Active Learning of Reward Dynamics from Hierarchical Queries
IROS 2019poster
Enabling robots to act according to human preferences across diverse environments is a crucial task, extensively studied by both roboticists and machine learning researchers. To achieve it, human preferences are often encoded by a reward function which the robot optimizes for. This reward function i…