Keisuke Nakarnura

Model-based Adversarial Imitation Learning from Demonstrations and Human Reward

Reinforcement learning (RL) can potentially be applied to real-world robot control in complex and uncertain environments. However, it is difficult or even unpractical to design an efficient reward function for various tasks, especially those large and high-dimensional environments. Generative advers…