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Deep Reinforcement Learning with a Natural Language Action Space

Deep Reinforcement Learning with a Natural Language Action Space

14 November 2015
Ji He
Jianshu Chen
Xiaodong He
Jianfeng Gao
Lihong Li
Li Deng
Mari Ostendorf
ArXivPDFHTML

Papers citing "Deep Reinforcement Learning with a Natural Language Action Space"

50 / 55 papers shown
Title
Persona Dynamics: Unveiling the Impact of Personality Traits on Agents in Text-Based Games
Persona Dynamics: Unveiling the Impact of Personality Traits on Agents in Text-Based Games
Seungwon Lim
Seungbeen Lee
Dongjun Min
Youngjae Yu
AI4CE
49
0
0
09 Apr 2025
A Generalist Hanabi Agent
A Generalist Hanabi Agent
Arjun Vaithilingam Sudhakar
Hadi Nekoei
Mathieu Reymond
Miao Liu
Janarthanan Rajendran
Sarath Chandar
168
0
0
17 Mar 2025
Agent-Oriented Planning in Multi-Agent Systems
Agent-Oriented Planning in Multi-Agent Systems
Ao Li
Yuexiang Xie
Songze Li
Fugee Tsung
Bolin Ding
Yaliang Li
AIFin
107
6
0
03 Oct 2024
Babysit A Language Model From Scratch: Interactive Language Learning by Trials and Demonstrations
Babysit A Language Model From Scratch: Interactive Language Learning by Trials and Demonstrations
Ziqiao Ma
Zekun Wang
Joyce Chai
58
2
0
22 May 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
47
0
0
10 May 2024
Towards Generalizable Agents in Text-Based Educational Environments: A
  Study of Integrating RL with LLMs
Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs
Bahar Radmehr
Adish Singla
Tanja Kaser
LLMAG
AI4CE
38
6
0
29 Apr 2024
ChatShop: Interactive Information Seeking with Language Agents
ChatShop: Interactive Information Seeking with Language Agents
Sanxing Chen
Sam Wiseman
Bhuwan Dhingra
KELM
31
7
0
15 Apr 2024
Combinatorial Client-Master Multiagent Deep Reinforcement Learning for
  Task Offloading in Mobile Edge Computing
Combinatorial Client-Master Multiagent Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing
Zemuy Tesfay Gebrekidan
Sebastian Stein
Timothy J. Norman
23
4
0
18 Feb 2024
Understanding the planning of LLM agents: A survey
Understanding the planning of LLM agents: A survey
Xu Huang
Weiwen Liu
Xiaolong Chen
Xingmei Wang
Hao Wang
Defu Lian
Yasheng Wang
Ruiming Tang
Enhong Chen
LLMAG
LM&Ro
35
132
0
05 Feb 2024
Sequential Planning in Large Partially Observable Environments guided by
  LLMs
Sequential Planning in Large Partially Observable Environments guided by LLMs
S. Paul
LLMAG
29
0
0
12 Dec 2023
CLIN: A Continually Learning Language Agent for Rapid Task Adaptation
  and Generalization
CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization
Bodhisattwa Prasad Majumder
Bhavana Dalvi
Peter Alexander Jansen
Oyvind Tafjord
Niket Tandon
Li Zhang
Chris Callison-Burch
Peter Clark
LRM
LLMAG
CLL
21
37
0
16 Oct 2023
Augmenting Autotelic Agents with Large Language Models
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
Language-Grounded Control for Coordinated Robot Motion and Speech
Language-Grounded Control for Coordinated Robot Motion and Speech
Ravi Tejwani
Chengyuan Ma
Paco Gomez-Paz
P. Bonato
H. Asada
8
0
0
04 May 2023
Learn What Is Possible, Then Choose What Is Best: Disentangling
  One-To-Many Relations in Language Through Text-based Games
Learn What Is Possible, Then Choose What Is Best: Disentangling One-To-Many Relations in Language Through Text-based Games
Benjamin Towle
Ke Zhou
SyDa
25
4
0
14 Apr 2023
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards
  and Ethical Behavior in the MACHIAVELLI Benchmark
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark
Alexander Pan
Chan Jun Shern
Andy Zou
Nathaniel Li
Steven Basart
Thomas Woodside
Jonathan Ng
Hanlin Zhang
Scott Emmons
Dan Hendrycks
26
126
0
06 Apr 2023
Language Decision Transformers with Exponential Tilt for Interactive
  Text Environments
Language Decision Transformers with Exponential Tilt for Interactive Text Environments
Nicolas Angelard-Gontier
Pau Rodríguez López
I. Laradji
David Vazquez
C. Pal
OffRL
31
1
0
10 Feb 2023
Unsupervised Time-Aware Sampling Network with Deep Reinforcement
  Learning for EEG-Based Emotion Recognition
Unsupervised Time-Aware Sampling Network with Deep Reinforcement Learning for EEG-Based Emotion Recognition
Yongtao Zhang
Yue Pan
Yulin Zhang
Linling Li
Li Zhang
G. Huang
Zhen Liang
Zhiguo Zhang
35
11
0
14 Dec 2022
Gradient Imitation Reinforcement Learning for General Low-Resource
  Information Extraction
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction
Xuming Hu
Shiao Meng
Chenwei Zhang
Xiangli Yang
Lijie Wen
Irwin King
Philip S. Yu
52
0
0
11 Nov 2022
Learning to Follow Instructions in Text-Based Games
Learning to Follow Instructions in Text-Based Games
Mathieu Tuli
Andrew C. Li
Pashootan Vaezipoor
Toryn Q. Klassen
Scott Sanner
Sheila A. McIlraith
36
13
0
08 Nov 2022
Reinforcement Learning of Multi-Domain Dialog Policies Via Action
  Embeddings
Reinforcement Learning of Multi-Domain Dialog Policies Via Action Embeddings
Jorge Armando Mendez Mendez
Alborz Geramifard
Mohammad Ghavamzadeh
Bing-Quan Liu
OffRL
27
6
0
01 Jul 2022
Aligning to Social Norms and Values in Interactive Narratives
Aligning to Social Norms and Values in Interactive Narratives
Prithviraj Ammanabrolu
Liwei Jiang
Maarten Sap
Hannaneh Hajishirzi
Yejin Choi
AI4CE
28
46
0
04 May 2022
What Would Jiminy Cricket Do? Towards Agents That Behave Morally
What Would Jiminy Cricket Do? Towards Agents That Behave Morally
Dan Hendrycks
Mantas Mazeika
Andy Zou
Sahil Patel
Christine Zhu
Jesus Navarro
D. Song
Bo-wen Li
Jacob Steinhardt
16
58
0
25 Oct 2021
Situated Dialogue Learning through Procedural Environment Generation
Situated Dialogue Learning through Procedural Environment Generation
Prithviraj Ammanabrolu
Renee Jia
Mark O. Riedl
109
14
0
07 Oct 2021
Generalization in Text-based Games via Hierarchical Reinforcement
  Learning
Generalization in Text-based Games via Hierarchical Reinforcement Learning
Yunqiu Xu
Meng Fang
Ling Chen
Yali Du
Chengqi Zhang
AI4CE
40
20
0
21 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
32
24
0
20 Sep 2021
Pre-trained Language Models as Prior Knowledge for Playing Text-based
  Games
Pre-trained Language Models as Prior Knowledge for Playing Text-based Games
Ishika Singh
Gargi Singh
Ashutosh Modi
OffRL
AI4CE
24
29
0
18 Jul 2021
A Systematic Survey of Text Worlds as Embodied Natural Language
  Environments
A Systematic Survey of Text Worlds as Embodied Natural Language Environments
Peter Alexander Jansen
LM&Ro
23
21
0
08 Jul 2021
Learning Knowledge Graph-based World Models of Textual Environments
Learning Knowledge Graph-based World Models of Textual Environments
Prithviraj Ammanabrolu
Mark O. Riedl
3DV
26
31
0
17 Jun 2021
Eye of the Beholder: Improved Relation Generalization for Text-based
  Reinforcement Learning Agents
Eye of the Beholder: Improved Relation Generalization for Text-based Reinforcement Learning Agents
K. Murugesan
Subhajit Chaudhury
Kartik Talamadupula
30
5
0
09 Jun 2021
Training Value-Aligned Reinforcement Learning Agents Using a Normative
  Prior
Training Value-Aligned Reinforcement Learning Agents Using a Normative Prior
Md Sultan al Nahian
Spencer Frazier
Brent Harrison
Mark O. Riedl
27
17
0
19 Apr 2021
Language Models are Few-Shot Butlers
Language Models are Few-Shot Butlers
Vincent Micheli
Franccois Fleuret
19
31
0
16 Apr 2021
Survey on reinforcement learning for language processing
Survey on reinforcement learning for language processing
Víctor Uc Cetina
Nicolás Navarro-Guerrero
A. Martín-González
C. Weber
S. Wermter
OffRL
24
101
0
12 Apr 2021
Generalization to New Actions in Reinforcement Learning
Generalization to New Actions in Reinforcement Learning
Ayush Jain
Andrew Szot
Joseph J. Lim
AI4CE
33
34
0
03 Nov 2020
Reinforcement Learning with Combinatorial Actions: An Application to
  Vehicle Routing
Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing
A. Delarue
Ross Anderson
Christian Tjandraatmadja
32
93
0
22 Oct 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
Qiufeng Wang
Chengqi Zhang
OffRL
25
44
0
22 Oct 2020
Text-based RL Agents with Commonsense Knowledge: New Challenges,
  Environments and Baselines
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines
K. Murugesan
Mattia Atzeni
Pavan Kapanipathi
Pushkar Shukla
Sadhana Kumaravel
Gerald Tesauro
Kartik Talamadupula
Mrinmaya Sachan
Murray Campbell
LM&Ro
LLMAG
OffRL
32
54
0
08 Oct 2020
Keep CALM and Explore: Language Models for Action Generation in
  Text-based Games
Keep CALM and Explore: Language Models for Action Generation in Text-based Games
Shunyu Yao
Rohan Rao
Matthew J. Hausknecht
Karthik Narasimhan
LLMAG
LM&Ro
19
126
0
06 Oct 2020
RODE: Learning Roles to Decompose Multi-Agent Tasks
RODE: Learning Roles to Decompose Multi-Agent Tasks
Tonghan Wang
Tarun Gupta
Anuj Mahajan
Bei Peng
Shimon Whiteson
Chongjie Zhang
OffRL
30
203
0
04 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
19
44
0
01 Oct 2020
How to Avoid Being Eaten by a Grue: Structured Exploration Strategies
  for Textual Worlds
How to Avoid Being Eaten by a Grue: Structured Exploration Strategies for Textual Worlds
Prithviraj Ammanabrolu
Ethan Tien
Matthew J. Hausknecht
Mark O. Riedl
LLMAG
24
50
0
12 Jun 2020
Can Temporal-Difference and Q-Learning Learn Representation? A
  Mean-Field Theory
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory
Yufeng Zhang
Qi Cai
Zhuoran Yang
Yongxin Chen
Zhaoran Wang
OOD
MLT
90
11
0
08 Jun 2020
A Survey on Dialog Management: Recent Advances and Challenges
A Survey on Dialog Management: Recent Advances and Challenges
Yinpei Dai
Huihua Yu
Yixuan Jiang
Chengguang Tang
Yongbin Li
Jian Sun
OffRL
VLM
27
20
0
05 May 2020
Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue
  Task
Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue Task
Katya Kudashkina
Valliappa Chockalingam
Graham W. Taylor
Michael Bowling
OffRL
LLMAG
33
2
0
28 Apr 2020
An empirical investigation of the challenges of real-world reinforcement
  learning
An empirical investigation of the challenges of real-world reinforcement learning
Gabriel Dulac-Arnold
Nir Levine
D. Mankowitz
Jerry Li
Cosmin Paduraru
Sven Gowal
Todd Hester
OffRL
34
120
0
24 Mar 2020
I'm sorry Dave, I'm afraid I can't do that, Deep Q-learning from
  forbidden action
I'm sorry Dave, I'm afraid I can't do that, Deep Q-learning from forbidden action
Mathieu Seurin
Philippe Preux
Olivier Pietquin
16
12
0
04 Oct 2019
Interactive Fiction Games: A Colossal Adventure
Interactive Fiction Games: A Colossal Adventure
Matthew J. Hausknecht
Prithviraj Ammanabrolu
Marc-Alexandre Côté
Xingdi Yuan
LLMAG
LM&Ro
AI4CE
16
191
0
11 Sep 2019
Playing Text-Adventure Games with Graph-Based Deep Reinforcement
  Learning
Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning
Prithviraj Ammanabrolu
Mark O. Riedl
GNN
15
121
0
04 Dec 2018
Semi-supervised Deep Reinforcement Learning in Support of IoT and Smart
  City Services
Semi-supervised Deep Reinforcement Learning in Support of IoT and Smart City Services
M. Mohammadi
Ala I. Al-Fuqaha
Mohsen Guizani
Jun-Seok Oh
OffRL
HAI
19
337
0
09 Oct 2018
Neural Approaches to Conversational AI
Neural Approaches to Conversational AI
Jianfeng Gao
Michel Galley
Lihong Li
46
669
0
21 Sep 2018
Reinforcement Learning with Function-Valued Action Spaces for Partial
  Differential Equation Control
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control
Yangchen Pan
Amir-massoud Farahmand
Martha White
S. Nabi
P. Grover
D. Nikovski
38
18
0
13 Jun 2018
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