Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration

Desik Rengarajan, Gargi Vaidya, Akshay Sarvesh +2

A major challenge in real-world reinforcement learning (RL) is the sparsity of reward feedback. Often, what is available is an intuitive but sparse reward function that only indica…