Adaptive Multi-Objective Robot Navigation with Demonstration-Infused Reinforcement Learning
A multi-objective reinforcement learning framework that enables robots to adapt their navigation behavior to changing user preferences without retraining, by incorporating demonstration data as a tuneable objective.
