DE eng

Search in the Catalogues and Directories

Hits 1 – 2 of 2

1
Touchdown: Natural Language Navigation and Spatial Reasoning in Visual Street Environments ...
BASE
Show details
2
Mapping Instructions and Visual Observations to Actions with Reinforcement Learning ...
Abstract: We propose to directly map raw visual observations and text input to actions for instruction execution. While existing approaches assume access to structured environment representations or use a pipeline of separately trained models, we learn a single model to jointly reason about linguistic and visual input. We use reinforcement learning in a contextual bandit setting to train a neural network agent. To guide the agent's exploration, we use reward shaping with different forms of supervision. Our approach does not require intermediate representations, planning procedures, or training different models. We evaluate in a simulated environment, and show significant improvements over supervised learning and common reinforcement learning variants. ... : In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/1704.08795
https://dx.doi.org/10.48550/arxiv.1704.08795
BASE
Hide details

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
2
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern