ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1906.03926
  4. Cited By
A Survey of Reinforcement Learning Informed by Natural Language

A Survey of Reinforcement Learning Informed by Natural Language

10 June 2019
Jelena Luketina
Nantas Nardelli
Gregory Farquhar
Jakob N. Foerster
Jacob Andreas
Edward Grefenstette
Shimon Whiteson
Tim Rocktaschel
    LM&Ro
    KELM
    OffRL
    LRM
ArXivPDFHTML

Papers citing "A Survey of Reinforcement Learning Informed by Natural Language"

40 / 40 papers shown
Title
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning
Beyazit Yalcinkaya
Niklas Lauffer
Marcell Vazquez-Chanlatte
S. Seshia
AI4CE
47
5
0
31 Oct 2024
DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
DeepLTL: Learning to Efficiently Satisfy Complex LTL Specifications for Multi-Task RL
Mathias Jackermeier
Alessandro Abate
OffRL
34
1
0
06 Oct 2024
Lifelong Robot Library Learning: Bootstrapping Composable and
  Generalizable Skills for Embodied Control with Language Models
Lifelong Robot Library Learning: Bootstrapping Composable and Generalizable Skills for Embodied Control with Language Models
Georgios Tziafas
H. Kasaei
KELM
LM&Ro
35
8
0
26 Jun 2024
Aspect-based Sentiment Evaluation of Chess Moves (ASSESS): an NLP-based
  Method for Evaluating Chess Strategies from Textbooks
Aspect-based Sentiment Evaluation of Chess Moves (ASSESS): an NLP-based Method for Evaluating Chess Strategies from Textbooks
Haifa Alrdahi
R. Batista-Navarro
37
0
0
10 May 2024
Policy Learning with a Language Bottleneck
Policy Learning with a Language Bottleneck
Megha Srivastava
Cédric Colas
Dorsa Sadigh
Jacob Andreas
35
3
0
07 May 2024
A Survey on Multimodal Large Language Models for Autonomous Driving
A Survey on Multimodal Large Language Models for Autonomous Driving
Can Cui
Yunsheng Ma
Xu Cao
Wenqian Ye
Yang Zhou
...
Xinrui Yan
Shuqi Mei
Jianguo Cao
Ziran Wang
Chao Zheng
38
249
0
21 Nov 2023
OceanChat: Piloting Autonomous Underwater Vehicles in Natural Language
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
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
A Reminder of its Brittleness: Language Reward Shaping May Hinder
  Learning for Instruction Following Agents
A Reminder of its Brittleness: Language Reward Shaping May Hinder Learning for Instruction Following Agents
Sukai Huang
N. Lipovetzky
Trevor Cohn
30
2
0
26 May 2023
A Mini Review on the utilization of Reinforcement Learning with OPC UA
A Mini Review on the utilization of Reinforcement Learning with OPC UA
Simon Schindler
M. Uray
Stefan Huber
23
1
0
24 May 2023
Training Language Models with Language Feedback at Scale
Training Language Models with Language Feedback at Scale
Jérémy Scheurer
Jon Ander Campos
Tomasz Korbak
Jun Shern Chan
Angelica Chen
Kyunghyun Cho
Ethan Perez
ALM
34
101
0
28 Mar 2023
Natural Language-conditioned Reinforcement Learning with Inside-out Task
  Language Development and Translation
Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translation
Jing-Cheng Pang
Xinyi Yang
Sibei Yang
Yang Yu
27
8
0
18 Feb 2023
Guiding Pretraining in Reinforcement Learning with Large Language Models
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
Reinforcement Learning and Bandits for Speech and Language Processing:
  Tutorial, Review and Outlook
Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook
Baihan Lin
OffRL
AI4TS
24
27
0
24 Oct 2022
Memory in humans and deep language models: Linking hypotheses for model
  augmentation
Memory in humans and deep language models: Linking hypotheses for model augmentation
Omri Raccah
Pheobe Chen
Ted Willke
David Poeppel
Vy A. Vo
RALM
13
1
0
04 Oct 2022
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
22
0
0
10 Sep 2022
Innovations in Neural Data-to-text Generation: A Survey
Innovations in Neural Data-to-text Generation: A Survey
Mandar Sharma
Ajay K. Gogineni
Naren Ramakrishnan
24
10
0
25 Jul 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 L. Griffiths
Dylan Hadfield-Menell
LM&Ro
26
20
0
16 Jun 2022
Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning
  for Robotics
Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics
Frank Röder
Manfred Eppe
S. Wermter
19
7
0
08 Apr 2022
Comparative analysis of machine learning methods for active flow control
Comparative analysis of machine learning methods for active flow control
F. Pino
Lorenzo Schena
Jean Rabault
M. A. Mendez
26
43
0
23 Feb 2022
Abstraction for Deep Reinforcement Learning
Abstraction for Deep Reinforcement Learning
Murray Shanahan
Melanie Mitchell
OffRL
22
28
0
10 Feb 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Minghuan Liu
Menghui Zhu
Weinan Zhang
22
131
0
20 Jan 2022
DB-BERT: a Database Tuning Tool that "Reads the Manual"
DB-BERT: a Database Tuning Tool that "Reads the Manual"
Immanuel Trummer
14
61
0
21 Dec 2021
LILA: Language-Informed Latent Actions
LILA: Language-Informed Latent Actions
Siddharth Karamcheti
Megha Srivastava
Percy Liang
Dorsa Sadigh
LM&Ro
16
31
0
05 Nov 2021
A Framework for Learning to Request Rich and Contextually Useful
  Information from Humans
A Framework for Learning to Request Rich and Contextually Useful Information from Humans
Khanh Nguyen
Yonatan Bisk
Hal Daumé
33
16
0
14 Oct 2021
Reinforcement Learning with Information-Theoretic Actuation
Reinforcement Learning with Information-Theoretic Actuation
Elliot Catt
Marcus Hutter
J. Veness
37
0
0
30 Sep 2021
A Survey of Text Games for Reinforcement Learning informed by Natural
  Language
A Survey of Text Games for Reinforcement Learning informed by Natural Language
P. Osborne
Heido Nomm
André Freitas
AI4CE
24
24
0
20 Sep 2021
Learning Language-Conditioned Robot Behavior from Offline Data and
  Crowd-Sourced Annotation
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation
Suraj Nair
E. Mitchell
Kevin Chen
Brian Ichter
Silvio Savarese
Chelsea Finn
LM&Ro
OffRL
21
154
0
02 Sep 2021
Reinforcement Learning for Intelligent Healthcare Systems: A
  Comprehensive Survey
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey
A. Abdellatif
N. Mhaisen
Z. Chkirbene
Amr M. Mohamed
A. Erbad
M. Guizani
OffRL
AI4TS
15
21
0
05 Aug 2021
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
Paul Pu Liang
Yiwei Lyu
Xiang Fan
Zetian Wu
Yun Cheng
...
Peter Wu
Michelle A. Lee
Yuke Zhu
Ruslan Salakhutdinov
Louis-Philippe Morency
VLM
23
158
0
15 Jul 2021
SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement
  Learning Agents
SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents
Grgur Kovač
Rémy Portelas
Katja Hofmann
Pierre-Yves Oudeyer
ALM
24
6
0
02 Jul 2021
Core Challenges in Embodied Vision-Language Planning
Core Challenges in Embodied Vision-Language Planning
Jonathan M Francis
Nariaki Kitamura
Felix Labelle
Xiaopeng Lu
Ingrid Navarro
Jean Oh
LM&Ro
39
45
0
26 Jun 2021
Leveraging Language to Learn Program Abstractions and Search Heuristics
Leveraging Language to Learn Program Abstractions and Search Heuristics
Catherine Wong
Kevin Ellis
J. Tenenbaum
Jacob Andreas
11
54
0
18 Jun 2021
Grounding Spatio-Temporal Language with Transformers
Grounding Spatio-Temporal Language with Transformers
Tristan Karch
Laetitia Teodorescu
Katja Hofmann
Clément Moulin-Frier
Pierre-Yves Oudeyer
LM&Ro
11
11
0
16 Jun 2021
Inductive Bias and Language Expressivity in Emergent Communication
Inductive Bias and Language Expressivity in Emergent Communication
Shangmin Guo
Yi Ren
A. Slowik
K. Mathewson
23
8
0
04 Dec 2020
Deep Reinforcement Learning with Stacked Hierarchical Attention for
  Text-based Games
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games
Yunqiu Xu
Meng Fang
Ling-Hao Chen
Yali Du
Joey Tianyi Zhou
Chengqi Zhang
OffRL
23
44
0
22 Oct 2020
How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and
  Act in Fantasy Worlds
How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds
Prithviraj Ammanabrolu
Jack Urbanek
Margaret Li
Arthur Szlam
Tim Rocktaschel
Jason Weston
LM&Ro
6
44
0
01 Oct 2020
Systematic Generalisation through Task Temporal Logic and Deep
  Reinforcement Learning
Systematic Generalisation through Task Temporal Logic and Deep Reinforcement Learning
Borja G. Leon
Murray Shanahan
Francesco Belardinelli
NAI
AI4CE
31
28
0
12 Jun 2020
Language Conditioned Imitation Learning over Unstructured Data
Language Conditioned Imitation Learning over Unstructured Data
Corey Lynch
P. Sermanet
LM&Ro
25
241
0
15 May 2020
Neural Modular Control for Embodied Question Answering
Neural Modular Control for Embodied Question Answering
Abhishek Das
Georgia Gkioxari
Stefan Lee
Devi Parikh
Dhruv Batra
LM&Ro
127
127
0
26 Oct 2018
1