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. 2006.07409
  4. Cited By
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

12 June 2020
Prithviraj Ammanabrolu
Ethan Tien
Matthew J. Hausknecht
Mark O. Riedl
    LLMAG
ArXivPDFHTML

Papers citing "How to Avoid Being Eaten by a Grue: Structured Exploration Strategies for Textual Worlds"

20 / 20 papers shown
Title
TALES: Text Adventure Learning Environment Suite
TALES: Text Adventure Learning Environment Suite
Christopher Zhang Cui
Xingdi Yuan
Ziang Xiao
Prithviraj Ammanabrolu
Marc-Alexandre Côté
LLMAG
LRM
47
0
0
19 Apr 2025
The Odyssey of the Fittest: Can Agents Survive and Still Be Good?
The Odyssey of the Fittest: Can Agents Survive and Still Be Good?
Dylan Waldner
Risto Miikkulainen
51
0
0
08 Feb 2025
AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents
AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents
Petr Anokhin
Nikita Semenov
Artyom Sorokin
Dmitry Evseev
Mikhail Burtsev
Evgeny Burnaev
Evgeny Burnaev
LLMAG
RALM
KELM
47
7
0
05 Jul 2024
Dialogue Shaping: Empowering Agents through NPC Interaction
Dialogue Shaping: Empowering Agents through NPC Interaction
Wei Zhou
Xiangyu Peng
Mark O. Riedl
LLMAG
30
8
0
28 Jul 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
19
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
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
33
8
0
09 Mar 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
21
1
0
10 Feb 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
42
76
0
28 Jan 2023
An Analysis of Deep Reinforcement Learning Agents for Text-based Games
An Analysis of Deep Reinforcement Learning Agents for Text-based Games
Chen Chen
Yue Dai
Josiah Poon
Caren Han
LLMAG
19
2
0
09 Sep 2022
Goal-Directed Story Generation: Augmenting Generative Language Models
  with Reinforcement Learning
Goal-Directed Story Generation: Augmenting Generative Language Models with Reinforcement Learning
Amal Alabdulkarim
W. Li
Lara J. Martin
Mark O. Riedl
16
22
0
16 Dec 2021
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
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
36
16
0
14 Oct 2021
Situated Dialogue Learning through Procedural Environment Generation
Situated Dialogue Learning through Procedural Environment Generation
Prithviraj Ammanabrolu
Renee Jia
Mark O. Riedl
106
14
0
07 Oct 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
26
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
19
28
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
18
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
30
0
17 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
19
17
0
19 Apr 2021
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
1