Nicolò Botteghi

Low Dimensional State Representation Learning with Reward-shaped Priors

2021

Reinforcement Learning has been able to solve many complicated robotics tasks without any need for feature engineering in an end-to-end fashion. However, learning the optimal policy directly from the sensory inputs, i.e the observations, often …