Search Results for author: Wang Zhu

Found 3 papers, 2 papers with code

BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps

1 code implementation ACL 2020 Wang Zhu, Hexiang Hu, Jiacheng Chen, Zhiwei Deng, Vihan Jain, Eugene Ie, Fei Sha

To this end, we propose BabyWalk, a new VLN agent that is learned to navigate by decomposing long instructions into shorter ones (BabySteps) and completing them sequentially.

Imitation Learning Vision and Language Navigation

Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees

no code implementations16 Jul 2018 Guiliang Liu, Oliver Schulte, Wang Zhu, Qingcan Li

An LMUT is learned using a novel on-line algorithm that is well-suited for an active play setting, where the mimic learner observes an ongoing interaction between the neural net and the environment.

reinforcement-learning

Cannot find the paper you are looking for? You can Submit a new open access paper.