Guided RL aims at learning control policies for real world robots in an efficient and effective way. We showcase how the introduced modular toolbox can be applied to three different robotic tasks.
Guided Reinforcement Learning describes a concept for learning control policies of intelligent robots. By incorporating additional knowledge, the training process becomes more data-efficient and effective for real-world robotics.
