Towards Practical Multi-Object Manipulation using Relational Reinforcement Learning
Richard Li,Allan Jabri,Trevor Darrell,Pulkit Agrawal,Richard Li,Allan Jabri,Trevor Darrell,Pulkit Agrawal
Learning robotic manipulation tasks using reinforcement learning with sparse rewards is currently impractical due to the outrageous data requirements. Many practical tasks require manipulation of multiple objects, and the complexity of such tasks increases with the number of objects. Learning from a curriculum of increasingly complex tasks appears to be a natural solution, but unfortunately, does ...
