Improving Intrinsic Exploration with Language Abstractions

Improving Intrinsic Exploration with Language Abstractions

17 February 2022

Roberta Raileanu

Noah D. Goodman

Tim Rocktaschel

Edward Grefenstette

Papers citing "Improving Intrinsic Exploration with Language Abstractions"

13 / 13 papers shown

Title
Improve the efficiency of deep reinforcement learning through semantic exploration guided by natural language Zhourui Guo Meng Yao Yang Yu Qiyue Yin OnRL 26 1 0 21 Sep 2023
Yes, this Way! Learning to Ground Referring Expressions into Actions with Intra-episodic Feedback from Supportive Teachers P. Sadler Sherzod Hakimov David Schlangen 33 1 0 22 May 2023
Guiding Pretraining in Reinforcement Learning with Large Language Models Yuqing Du Olivia Watkins Zihan Wang Cédric Colas Trevor Darrell Pieter Abbeel Abhishek Gupta Jacob Andreas LM&Ro 21 171 0 13 Feb 2023
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling Kolby Nottingham Prithviraj Ammanabrolu Alane Suhr Yejin Choi Hannaneh Hajishirzi Sameer Singh Roy Fox LLMAG LM&Ro 39 76 0 28 Jan 2023
Foundation Models for Semantic Novelty in Reinforcement Learning Tarun Gupta Peter Karkus Tong Che Danfei Xu Marco Pavone VLM OffRL LRM 37 7 0 09 Nov 2022
Exploration via Elliptical Episodic Bonuses Mikael Henaff Roberta Raileanu Minqi Jiang Tim Rocktaschel OffRL 29 39 0 11 Oct 2022
TextWorldExpress: Simulating Text Games at One Million Steps Per Second Peter Alexander Jansen Marc-Alexandre Côté VLM LRM 24 6 0 01 Aug 2022
How to talk so AI will learn: Instructions, descriptions, and autonomy T. Sumers Robert D. Hawkins Mark K. Ho Thomas L. Griffiths Dylan Hadfield-Menell LM&Ro 26 20 0 16 Jun 2022
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 24 67 0 08 Apr 2022
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 232 89 0 27 Sep 2021
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning H. Wang Victor Zhong Karthik Narasimhan 76 53 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 248 496 0 07 Jun 2018
Guiding Reinforcement Learning Exploration Using Natural Language Brent Harrison Upol Ehsan Mark O. Riedl OffRL 76 27 0 26 Jul 2017