Research Area:  Machine Learning
We consider the problem of exploration in meta reinforcement learning. Two new meta reinforcement learning algorithms are suggested: E-MAML and ERL2. Results are presented on a novel environment we call Krazy World and a set of maze environments. We show E-MAML and ERL2 deliver better performance on tasks where exploration is important.
Keywords:  
Meta-Reinforcement Learning
Machine Learning
Deep Learning
Author(s) Name:  Bradly C. Stadie, Ge Yang, Rein Houthooft, Xi Chen, Yan Duan, Yuhuai Wu, Pieter Abbeel, Ilya Sutskever
Journal name:  Artificial Intelligence
Conferrence name:  
Publisher name:  arXiv:1803.0111
DOI:  1803.01118
Volume Information:  
Paper Link:   https://arxiv.org/abs/1803.01118