Language is Power: Representing States Using Natural Language in Reinforcement Learning

2 October 2019

Papers citing "Language is Power: Representing States Using Natural Language in Reinforcement Learning"

4 / 4 papers shown

Title
Semantic Exploration from Language Abstractions and Pretrained Representations Allison C. Tam Neil C. Rabinowitz Andrew Kyle Lampinen Nicholas A. Roy Stephanie C. Y. Chan D. Strouse Jane X. Wang Andrea Banino Felix Hill LM&Ro 39 67 0 08 Apr 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning L. Pullum 13 2 0 22 Mar 2022
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 213 1,367 0 06 Jun 2016
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 258 13,368 0 25 Aug 2014