Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards

Mel Vecerik, Todd Hester, Jonathan Scholz +7

We propose a general and model-free approach for Reinforcement Learning (RL) on real robotics with sparse rewards. We build upon the Deep Deterministic Policy Gradient (DDPG) algor…