Improving Intrinsic Exploration with Language Abstractions

17 February 2022

Papers citing "Improving Intrinsic Exploration with Language Abstractions"

4 / 4 papers shown

Title
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research Mikayel Samvelyan Robert Kirk Vitaly Kurin Jack Parker-Holder Minqi Jiang Eric Hambro Fabio Petroni Heinrich Küttler Edward Grefenstette Tim Rocktaschel OffRL 217 69 0 27 Sep 2021
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning H. Wang Victor Zhong Karthik Narasimhan 71 44 0 19 Jan 2021
Speaker-Follower Models for Vision-and-Language Navigation Daniel Fried Ronghang Hu Volkan Cirik Anna Rohrbach Jacob Andreas Louis-Philippe Morency Taylor Berg-Kirkpatrick Kate Saenko Dan Klein Trevor Darrell LM&Ro LRM 237 444 0 07 Jun 2018
Guiding Reinforcement Learning Exploration Using Natural Language Brent Harrison Upol Ehsan Mark O. Riedl OffRL 58 25 0 26 Jul 2017