Self-Imitation Learning from Demonstrations

no code implementations • 21 Mar 2022 • Georgiy Pshikhachev, Dmitry Ivanov, Vladimir Egorov, Aleksei Shpilman

Modern LfD algorithms require meticulous tuning of hyperparameters that control the influence of demonstrations and, as we show in the paper, struggle with learning from suboptimal demonstrations.

Imitation Learning Reinforcement Learning (RL)