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. 2009.14715
  4. Cited By
Learning Rewards from Linguistic Feedback

Learning Rewards from Linguistic Feedback

30 September 2020
T. Sumers
Mark K. Ho
Robert D. Hawkins
Karthik Narasimhan
Thomas L. Griffiths
ArXivPDFHTML

Papers citing "Learning Rewards from Linguistic Feedback"

38 / 38 papers shown
Title
Increasing happiness through conversations with artificial intelligence
Increasing happiness through conversations with artificial intelligence
Joseph Heffner
Chongyu Qin
Martin Chadwick
Chris Knutsen
Christopher Summerfield
Zeb Kurth-Nelson
Robb B. Rutledge
AI4MH
42
0
0
02 Apr 2025
Retrospective Learning from Interactions
Retrospective Learning from Interactions
Zizhao Chen
Mustafa Omer Gul
Yiwei Chen
Gloria Geng
Anne Wu
Yoav Artzi
LRM
28
1
0
17 Oct 2024
Problem Solving Through Human-AI Preference-Based Cooperation
Problem Solving Through Human-AI Preference-Based Cooperation
Subhabrata Dutta
Timo Kaufmann
Goran Glavas
Ivan Habernal
Kristian Kersting
Frauke Kreuter
Mira Mezini
Iryna Gurevych
Eyke Hüllermeier
Hinrich Schuetze
98
1
0
14 Aug 2024
Social Learning through Interactions with Other Agents: A Survey
Social Learning through Interactions with Other Agents: A Survey
Dylan Hillier
Cheston Tan
Jing Jiang
40
0
0
31 Jul 2024
Building Machines that Learn and Think with People
Building Machines that Learn and Think with People
Katherine M. Collins
Ilia Sucholutsky
Umang Bhatt
Kartik Chandra
Lionel Wong
...
Mark K. Ho
Vikash K. Mansinghka
Adrian Weller
Joshua B. Tenenbaum
Thomas L. Griffiths
54
30
0
22 Jul 2024
Representational Alignment Supports Effective Machine Teaching
Representational Alignment Supports Effective Machine Teaching
Ilia Sucholutsky
Katherine M. Collins
Maya Malaviya
Nori Jacoby
Weiyang Liu
...
J. Tenenbaum
Brad Love
Z. Pardos
Adrian Weller
Thomas L. Griffiths
54
3
0
06 Jun 2024
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept,
  Taxonomy, and Methods
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods
Yuji Cao
Huan Zhao
Yuheng Cheng
Ting Shu
Guolong Liu
Gaoqi Liang
Junhua Zhao
Yun Li
LLMAG
KELM
OffRL
LM&Ro
35
50
0
30 Mar 2024
Learning with Language-Guided State Abstractions
Learning with Language-Guided State Abstractions
Andi Peng
Ilia Sucholutsky
Belinda Z. Li
T. Sumers
Thomas L. Griffiths
Jacob Andreas
Julie A. Shah
LM&Ro
49
13
0
28 Feb 2024
Natural Language Reinforcement Learning
Natural Language Reinforcement Learning
Xidong Feng
Bo Liu
Mengyue Yang
Ziyan Wang
Girish A. Koushiks
Yali Du
Ying Wen
Jun Wang
OffRL
35
3
0
11 Feb 2024
Professional Agents -- Evolving Large Language Models into Autonomous
  Experts with Human-Level Competencies
Professional Agents -- Evolving Large Language Models into Autonomous Experts with Human-Level Competencies
Zhixuan Chu
Yan Wang
Feng Zhu
Lu Yu
Longfei Li
Jinjie Gu
LLMAG
23
8
0
06 Feb 2024
Trajectory-Oriented Policy Optimization with Sparse Rewards
Trajectory-Oriented Policy Optimization with Sparse Rewards
Guojian Wang
Faguo Wu
Xiao Zhang
OffRL
17
1
0
04 Jan 2024
Human-AI Collaboration in Real-World Complex Environment with
  Reinforcement Learning
Human-AI Collaboration in Real-World Complex Environment with Reinforcement Learning
Md Saiful Islam
Srijita Das
S. Gottipati
William Duguay
Clodéric Mars
Jalal Arabneydi
Antoine Fagette
Matthew J. Guzdial
Matthew E. Taylor
35
1
0
23 Dec 2023
LLF-Bench: Benchmark for Interactive Learning from Language Feedback
LLF-Bench: Benchmark for Interactive Learning from Language Feedback
Ching-An Cheng
Andrey Kolobov
Dipendra Kumar Misra
Allen Nie
Adith Swaminathan
29
19
0
11 Dec 2023
Reinforcement Learning from Statistical Feedback: the Journey from AB
  Testing to ANT Testing
Reinforcement Learning from Statistical Feedback: the Journey from AB Testing to ANT Testing
Feiyang Han
Yimin Wei
Zhaofeng Liu
Yanxing Qi
30
1
0
24 Nov 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
28
1
0
21 Sep 2023
Cognitive Architectures for Language Agents
Cognitive Architectures for Language Agents
T. Sumers
Shunyu Yao
Karthik Narasimhan
Thomas L. Griffiths
LLMAG
LM&Ro
54
153
0
05 Sep 2023
Open Problems and Fundamental Limitations of Reinforcement Learning from
  Human Feedback
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
Stephen Casper
Xander Davies
Claudia Shi
T. Gilbert
Jérémy Scheurer
...
Erdem Biyik
Anca Dragan
David M. Krueger
Dorsa Sadigh
Dylan Hadfield-Menell
ALM
OffRL
47
472
0
27 Jul 2023
Learning to Generate Better Than Your LLM
Learning to Generate Better Than Your LLM
Jonathan D. Chang
Kianté Brantley
Rajkumar Ramamurthy
Dipendra Kumar Misra
Wen Sun
19
41
0
20 Jun 2023
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement
  Learning
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning
E. Liu
S. Suri
Tong Mu
Allan Zhou
Chelsea Finn
LLMAG
LM&Ro
21
2
0
14 Jun 2023
Curricular Subgoals for Inverse Reinforcement Learning
Curricular Subgoals for Inverse Reinforcement Learning
Shunyu Liu
Yunpeng Qing
Shuqi Xu
Hongyan Wu
Jiangtao Zhang
Jingyuan Cong
Tianhao Chen
Yunfu Liu
Mingli Song
21
1
0
14 Jun 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
39
103
0
28 Mar 2023
Distilling Internet-Scale Vision-Language Models into Embodied Agents
Distilling Internet-Scale Vision-Language Models into Embodied Agents
T. Sumers
Kenneth Marino
Arun Ahuja
Rob Fergus
Ishita Dasgupta
LM&Ro
28
24
0
29 Jan 2023
Large Language Models as Fiduciaries: A Case Study Toward Robustly
  Communicating With Artificial Intelligence Through Legal Standards
Large Language Models as Fiduciaries: A Case Study Toward Robustly Communicating With Artificial Intelligence Through Legal Standards
John J. Nay
ELM
AILaw
29
15
0
24 Jan 2023
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
Zilu Tang
Muhammed Yusuf Kocyigit
Derry Wijaya
35
8
0
20 Oct 2022
Law Informs Code: A Legal Informatics Approach to Aligning Artificial
  Intelligence with Humans
Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans
John J. Nay
ELM
AILaw
88
27
0
14 Sep 2022
RLang: A Declarative Language for Describing Partial World Knowledge to
  Reinforcement Learning Agents
RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents
Rafael Rodríguez-Sánchez
Benjamin A. Spiegel
Jenny Wang
Roma Patel
Stefanie Tellex
George Konidaris
13
2
0
12 Aug 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
22
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 L. Griffiths
Dylan Hadfield-Menell
LM&Ro
32
20
0
16 Jun 2022
Training Language Models with Language Feedback
Training Language Models with Language Feedback
Jérémy Scheurer
Jon Ander Campos
Jun Shern Chan
Angelica Chen
Kyunghyun Cho
Ethan Perez
ALM
38
47
0
29 Apr 2022
Linguistic communication as (inverse) reward design
Linguistic communication as (inverse) reward design
T. Sumers
Robert D. Hawkins
Mark K. Ho
Thomas L. Griffiths
Dylan Hadfield-Menell
12
4
0
11 Apr 2022
Teaching Drones on the Fly: Can Emotional Feedback Serve as Learning
  Signal for Training Artificial Agents?
Teaching Drones on the Fly: Can Emotional Feedback Serve as Learning Signal for Training Artificial Agents?
M. Pollak
Andrea Salfinger
K. Hummel
14
2
0
19 Feb 2022
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
47
16
0
14 Oct 2021
Neural Abstructions: Abstractions that Support Construction for Grounded
  Language Learning
Neural Abstructions: Abstractions that Support Construction for Grounded Language Learning
Kaylee Burns
Christopher D. Manning
Li Fei-Fei
19
0
0
20 Jul 2021
Communicating Natural Programs to Humans and Machines
Communicating Natural Programs to Humans and Machines
Samuel Acquaviva
Yewen Pu
Marta Kryven
Theo Sechopoulos
Catherine Wong
Gabrielle Ecanow
Maxwell Nye
Michael Henry Tessler
J. Tenenbaum
25
40
0
15 Jun 2021
Interactive Learning from Activity Description
Interactive Learning from Activity Description
Khanh Nguyen
Dipendra Kumar Misra
Robert Schapire
Miroslav Dudík
Patrick Shafto
47
34
0
13 Feb 2021
Adapting a Language Model for Controlled Affective Text Generation
Adapting a Language Model for Controlled Affective Text Generation
Ishika Singh
Ahsan Barkati
Tushar Goswamy
Ashutosh Modi
10
30
0
08 Nov 2020
Dialogue Learning With Human-In-The-Loop
Dialogue Learning With Human-In-The-Loop
Jiwei Li
Alexander H. Miller
S. Chopra
MarcÁurelio Ranzato
Jason Weston
OffRL
227
134
0
29 Nov 2016
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,364
0
25 Aug 2014
1