April 30, 2018
Building Generalizable Agents with a Realistic and Rich 3D Environment
International Conference on Learning Representations (ICLR)
Teaching an agent to navigate in an unseen 3D environment is a challenging task, even in the event of simulated environments. To generalize to unseen environments, an agent needs to be robust to low-level variations (e.g. color, texture, object changes), and also high-level variations (e.g. layout changes of the environment). To improve overall generalization, all types of variations in the environment have to be taken under consideration via different level of data augmentation steps.
By: Yi Wu, Yuxin Wu, Georgia Gkioxari, Yuandong Tian