Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward

Yanjiang Guo, Jingyue Gao, Zheng Wu +2

Reinforcement learning often suffer from the sparse reward issue in real-world robotics problems. Learning from demonstration (LfD) is an effective way to eliminate this problem, w…