Reinforcement Learning for Robotic Manipulation using Simulated Locomotion Demonstrations

16 Oct 2019Ozsel KilincYang HuGiovanni Montana

Learning robotic manipulation through reinforcement learning (RL) using only sparse reward signals is still considered a largely unsolved problem. Leveraging human demonstrations can make the learning process more sample efficient, but obtaining high-quality demonstrations can be costly or unfeasible... (read more)

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