Heeseong Lee

SAC(λ): Efficient Reinforcement Learning for Sparse-Reward Autonomous Car Racing using Imperfect Demonstrations

Recent advances in Reinforcement Learning (RL) have demonstrated promising results in autonomous car racing. However, two fundamental challenges remain: sparse rewards, which hinder efficient learning process, and the quality of demonstrations, which directly affects the effectiveness of RL from Dem