FLoRA: Sample-Efficient Preference-based RL via Low-Rank Style Adaptation of Reward Functions

Daniel Marta, Simon Holk, Miguel Vasco +6

Preference-based reinforcement learning (PbRL) is a suitable approach for style adaptation of pre-trained robotic behavior: adapting the robot's policy to follow human user prefere…