Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration

21 February 2020

Papers citing "Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration"

23 / 23 papers shown

Title
Policy Learning with a Language Bottleneck Megha Srivastava Cédric Colas Dorsa Sadigh Jacob Andreas 37 3 0 07 May 2024
OceanChat: Piloting Autonomous Underwater Vehicles in Natural Language Jia Huang Mengxue Hou Junkai Wang Fumin Zhang 32 5 0 27 Sep 2023
Improve the efficiency of deep reinforcement learning through semantic exploration guided by natural language Zhourui Guo Meng Yao Yang Yu Qiyue Yin OnRL 28 1 0 21 Sep 2023
The Wizard of Curiosities: Enriching Dialogues with Fun Facts Frederico Vicente Rafael Ferreira David Semedo João Magalhães 23 2 0 20 Sep 2023
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling Jesse Zhang Karl Pertsch Jiahui Zhang Joseph J. Lim LM&Ro 36 17 0 20 Jun 2023
Augmenting Autotelic Agents with Large Language Models Cédric Colas Laetitia Teodorescu Pierre-Yves Oudeyer Xingdi Yuan Marc-Alexandre Côté LLMAG LM&Ro 28 22 0 21 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 21 174 0 13 Feb 2023
Five Properties of Specific Curiosity You Didn't Know Curious Machines Should Have Nadia M. Ady R. Shariff J. Günther P. Pilarski 14 0 0 01 Dec 2022
TextWorldExpress: Simulating Text Games at One Million Steps Per Second Peter Alexander Jansen Marc-Alexandre Côté VLM LRM 26 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 32 20 0 16 Jun 2022
Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics Frank Röder Manfred Eppe S. Wermter 19 7 0 08 Apr 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 30 67 0 08 Apr 2022
Pedagogical Demonstrations and Pragmatic Learning in Artificial Tutor-Learner Interactions Hugo Caselles-Dupré Mohamed Chetouani Olivier Sigaud 6 1 0 28 Feb 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions Minghuan Liu Menghui Zhu Weinan Zhang 27 131 0 20 Jan 2022
Learning to Guide and to Be Guided in the Architect-Builder Problem Paul Barde Tristan Karch Derek Nowrouzezahrai Clément Moulin-Frier C. Pal Pierre-Yves Oudeyer 41 4 0 14 Dec 2021
AI Ethics Statements -- Analysis and lessons learnt from NeurIPS Broader Impact Statements Carolyn Ashurst Emmie Hine Paul Sedille A. Carlier 31 29 0 02 Nov 2021
A Framework for Learning to Request Rich and Contextually Useful Information from Humans Khanh Nguyen Yonatan Bisk Hal Daumé 41 16 0 14 Oct 2021
Self-supervised Reinforcement Learning with Independently Controllable Subgoals Andrii Zadaianchuk Georg Martius Fanny Yang SSL 64 16 0 09 Sep 2021
SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents Grgur Kovač Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer ALM 27 6 0 02 Jul 2021
Grounding Spatio-Temporal Language with Transformers Tristan Karch Laetitia Teodorescu Katja Hofmann Clément Moulin-Frier Pierre-Yves Oudeyer LM&Ro 16 11 0 16 Jun 2021
Interactive Learning from Activity Description Khanh Nguyen Dipendra Kumar Misra Robert Schapire Miroslav Dudík Patrick Shafto 47 34 0 13 Feb 2021
Grounding Artificial Intelligence in the Origins of Human Behavior Eleni Nisioti Clément Moulin-Frier AI4CE 34 5 0 15 Dec 2020
Automatic Curriculum Learning For Deep RL: A Short Survey Rémy Portelas Cédric Colas Lilian Weng Katja Hofmann Pierre-Yves Oudeyer ODL 12 167 0 10 Mar 2020