Kenneth Marino

Ask Your Humans: Using Human Instructions to Improve Generalization in\n Reinforcement Learning

2020 · arXiv (Cornell University)

Complex, multi-task problems have proven to be difficult to solve efficiently\nin a sparse-reward reinforcement learning setting. In order to be sample\nefficient, multi-task learning requires reuse and sharing of low-level\npolicies. To facilitate the automatic decomposition of …