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RTFM: Generalising to Novel Environment Dynamics via Reading

RTFM: Generalising to Novel Environment Dynamics via Reading

18 October 2019
Victor Zhong
Tim Rocktaschel
Edward Grefenstette
    LLMAG
    OffRL
    AI4CE
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Papers citing "RTFM: Generalising to Novel Environment Dynamics via Reading"

21 / 21 papers shown
Title
Policy Improvement using Language Feedback Models
Policy Improvement using Language Feedback Models
Victor Zhong
Dipendra Kumar Misra
Xingdi Yuan
Marc-Alexandre Côté
21
9
0
12 Feb 2024
Improve the efficiency of deep reinforcement learning through semantic
  exploration guided by natural language
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
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language
  Models
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models
Cheng-Yu Hsieh
Sibei Chen
Chun-Liang Li
Yasuhisa Fujii
Alexander Ratner
Chen-Yu Lee
Ranjay Krishna
Tomas Pfister
LLMAG
SyDa
53
41
0
01 Aug 2023
Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation
Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation
Bokui (William) Shen
Ge Yang
Alan Yu
J. Wong
L. Kaelbling
Phillip Isola
VLM
36
104
0
27 Jul 2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement
  Learning
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning
Wenhao Li
Dan Qiao
Baoxiang Wang
Xiangfeng Wang
Bo Jin
H. Zha
46
5
0
18 May 2023
Conceptual Reinforcement Learning for Language-Conditioned Tasks
Conceptual Reinforcement Learning for Language-Conditioned Tasks
Shaohui Peng
Xingui Hu
Rui Zhang
Jiaming Guo
Qi Yi
Rui Chen
Zidong Du
Ling Li
Qi Guo
Yunji Chen
OffRL
46
8
0
09 Mar 2023
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making
  using Language Guided World Modelling
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
55
77
0
28 Jan 2023
Ask Before You Act: Generalising to Novel Environments by Asking
  Questions
Ask Before You Act: Generalising to Novel Environments by Asking Questions
Ross Murphy
S. Mosesov
Javier Leguina Peral
Thymo ter Doest
LRM
32
0
0
10 Sep 2022
GriddlyJS: A Web IDE for Reinforcement Learning
GriddlyJS: A Web IDE for Reinforcement Learning
C. Bamford
Minqi Jiang
Mikayel Samvelyan
Tim Rocktaschel
OnRL
45
4
0
13 Jul 2022
Grounding Aleatoric Uncertainty for Unsupervised Environment Design
Grounding Aleatoric Uncertainty for Unsupervised Environment Design
Minqi Jiang
Michael Dennis
Jack Parker-Holder
Andrei Lupu
Heinrich Küttler
Edward Grefenstette
Tim Rocktaschel
Jakob N. Foerster
48
13
0
11 Jul 2022
Leveraging Language for Accelerated Learning of Tool Manipulation
Leveraging Language for Accelerated Learning of Tool Manipulation
Allen Z. Ren
Bharat Govil
Tsung-Yen Yang
Karthik Narasimhan
Anirudha Majumdar
LM&Ro
33
37
0
27 Jun 2022
How to talk so AI will learn: Instructions, descriptions, and autonomy
How to talk so AI will learn: Instructions, descriptions, and autonomy
T. Sumers
Robert D. Hawkins
Mark K. Ho
Thomas Griffiths
Dylan Hadfield-Menell
LM&Ro
43
20
0
16 Jun 2022
Asking for Knowledge: Training RL Agents to Query External Knowledge
  Using Language
Asking for Knowledge: Training RL Agents to Query External Knowledge Using Language
Iou-Jen Liu
Xingdi Yuan
Marc-Alexandre Côté
Pierre-Yves Oudeyer
Alex Schwing
RALM
26
12
0
12 May 2022
Learning Invariable Semantical Representation from Language for
  Extensible Policy Generalization
Learning Invariable Semantical Representation from Language for Extensible Policy Generalization
Yihan Li
Jinsheng Ren
Tianrun Xu
Tianren Zhang
Haichuan Gao
Feng Chen
26
1
0
26 Jan 2022
Procedures as Programs: Hierarchical Control of Situated Agents through
  Natural Language
Procedures as Programs: Hierarchical Control of Situated Agents through Natural Language
Shuyan Zhou
Pengcheng Yin
Graham Neubig
LM&Ro
19
1
0
16 Sep 2021
Boosting Search Engines with Interactive Agents
Boosting Search Engines with Interactive Agents
Leonard Adolphs
Benjamin Boerschinger
Christian Buck
Michelle Chen Huebscher
Massimiliano Ciaramita
...
Thomas Hofmann
Yannic Kilcher
Sascha Rothe
Pier Giuseppe Sessa
Lierni Sestorain Saralegui
LLMAG
31
24
0
01 Sep 2021
Human Instruction-Following with Deep Reinforcement Learning via
  Transfer-Learning from Text
Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text
Felix Hill
Soňa Mokrá
Nathaniel Wong
Tim Harley
LM&Ro
24
81
0
19 May 2020
Language Conditioned Imitation Learning over Unstructured Data
Language Conditioned Imitation Learning over Unstructured Data
Corey Lynch
P. Sermanet
LM&Ro
40
243
0
15 May 2020
Speaker-Follower Models for Vision-and-Language Navigation
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
260
498
0
07 Jun 2018
Deep Reinforcement Learning for Dialogue Generation
Deep Reinforcement Learning for Dialogue Generation
Jiwei Li
Will Monroe
Alan Ritter
Michel Galley
Jianfeng Gao
Dan Jurafsky
220
1,328
0
05 Jun 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
223
7,930
0
17 Aug 2015
1