Kyle Hsu

Unsupervised Curricula for Visual Meta-Reinforcement Learning

2019 · arXiv (Cornell University)

In principle, meta-reinforcement learning algorithms leverage experience across many tasks to learn fast reinforcement learning (RL) strategies that transfer to similar tasks. However, current meta-RL approaches rely on manually-defined distributions of training tasks, and hand-crafting …