FARPLS: A Feature-Augmented Robot Trajectory Preference Labeling System to Assist Human Labelers' Preference Elicitation.
Hanfang LyuYuanchen BaiXin LiangUjaan DasChuhan ShiLeiliang GongYingchi LiMingfei SunMing GeXiaojuan MaPublished in: CoRR (2024)
Keyphrases
- preference elicitation
- active learning
- human robot interaction
- utility function
- multi criteria
- minimax regret
- mobile robot
- decision theory
- inverse reinforcement learning
- preference relations
- multi attribute
- combinatorial auctions
- humanoid robot
- multiple criteria
- multiple agents
- cooperative
- machine learning
- neural network
- path planning
- np hard
- group decision making
- objective function