Words as Beacons: Guiding RL Agents with High-Level Language Prompts

Words as Beacons: Guiding RL Agents with High-Level Language Prompts

11 October 2024

Unai Ruiz-Gonzalez

Pedro G. Bascoy

Javier Del Ser

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Papers citing "Words as Beacons: Guiding RL Agents with High-Level Language Prompts"

16 / 16 papers shown

Title
A Survey on Large Language Model-Based Game Agents Sihao Hu Tiansheng Huang Gaowen Liu Ramana Rao Kompella Gaowen Liu Selim Furkan Tekin Yichang Xu Zachary Yahn Ling Liu LLMAG LM&Ro AI4CE LM&MA 187 57 0 02 Apr 2024
GPT-4 Technical Report OpenAI OpenAI OpenAI Josh Achiam Steven Adler Sandhini Agarwal Lama Ahmad ... Shengjia Zhao Tianhao Zheng Juntang Zhuang William Zhuk Barret Zoph LLMAG MLLM 1.5K 14,748 0 15 Mar 2023
Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents Zihao Wang Shaofei Cai Guanzhou Chen Hoang Trung-Dung Xiaojian Ma Yitao Liang LM&Ro LLMAG 109 340 0 03 Feb 2023
Transformers are Sample-Efficient World Models Vincent Micheli Eloi Alonso Franccois Fleuret VLM OffRL 155 189 0 01 Sep 2022
An Evaluation Study of Intrinsic Motivation Techniques applied to Reinforcement Learning over Hard Exploration Environments Alain Andres Esther Villar-Rodriguez Javier Del Ser 48 9 0 23 May 2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances Michael Ahn Anthony Brohan Noah Brown Yevgen Chebotar Omar Cortes ... Ted Xiao Peng Xu Sichun Xu Mengyuan Yan Andy Zeng LM&Ro 192 1,984 0 04 Apr 2022
Pre-Trained Language Models for Interactive Decision-Making Shuang Li Xavier Puig Chris Paxton Yilun Du Clinton Jia Wang ... Anima Anandkumar Jacob Andreas Igor Mordatch Antonio Torralba Yuke Zhu LM&Ro 110 262 0 03 Feb 2022
Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero Roberta Raileanu Heinrich Küttler J. Tenenbaum Tim Rocktaschel Edward Grefenstette 84 127 0 22 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 880 42,463 0 28 May 2020
Automated curricula through setter-solver interactions S. Racanière Andrew Kyle Lampinen Adam Santoro David P. Reichert Vlad Firoiu Timothy Lillicrap 72 53 0 27 Sep 2019
On The Power of Curriculum Learning in Training Deep Networks Guy Hacohen D. Weinshall ODL 75 449 0 07 Apr 2019
Competence-based Curriculum Learning for Neural Machine Translation Emmanouil Antonios Platanios Otilia Stretcu Graham Neubig Barnabás Póczós Tom Michael Mitchell 89 344 0 23 Mar 2019
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 544 19,296 0 20 Jul 2017
Automatic Goal Generation for Reinforcement Learning Agents Carlos Florensa David Held Xinyang Geng Pieter Abbeel 109 515 0 17 May 2017
Automated Curriculum Learning for Neural Networks Alex Graves Marc G. Bellemare Jacob Menick Rémi Munos Koray Kavukcuoglu 93 530 0 10 Apr 2017
Modular Multitask Reinforcement Learning with Policy Sketches Jacob Andreas Dan Klein Sergey Levine OffRL 171 463 0 06 Nov 2016