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2002.09127
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Learning Dynamic Belief Graphs to Generalize on Text-Based Games
Neural Information Processing Systems (NeurIPS), 2020
21 February 2020
Ashutosh Adhikari
Xingdi Yuan
Marc-Alexandre Côté
M. Zelinka
Marc-Antoine Rondeau
Romain Laroche
Pascal Poupart
Jian Tang
Adam Trischler
William L. Hamilton
AI4CE
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Papers citing
"Learning Dynamic Belief Graphs to Generalize on Text-Based Games"
50 / 56 papers shown
Title
Large Language Models Meet Text-Attributed Graphs: A Survey of Integration Frameworks and Applications
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Monte Carlo Planning with Large Language Model for Text-Based Game Agents
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23 Apr 2025
On the Connection Between Diffusion Models and Molecular Dynamics
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Can Language Models Enable In-Context Database?
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Dmitry Evseev
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05 Jul 2024
Can Language Models Serve as Text-Based World Simulators?
Ruoyao Wang
Graham Todd
Ziang Xiao
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Peter Clark
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134
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10 Jun 2024
A Mixture-of-Experts Approach to Few-Shot Task Transfer in Open-Ended Text Worlds
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Can LLMs perform structured graph reasoning?
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Constructing Temporal Dynamic Knowledge Graphs from Interactive Text-based Games
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Recognizing Unseen States of Unknown Objects by Leveraging Knowledge Graphs
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Dimitris Plexousakis
143
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ScriptWorld: Text Based Environment For Learning Procedural Knowledge
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Abhinav Joshi
A. Ahmad
Umang Pandey
Ashutosh Modi
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08 Jul 2023
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Subhajit Chaudhury
Sarathkrishna Swaminathan
Daiki Kimura
Prithviraj Sen
K. Murugesan
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Achille Fokoue
Pavan Kapanipathi
Asim Munawar
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Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker
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Melanie Sclar
Sachin Kumar
Peter West
Alane Suhr
Yejin Choi
Yulia Tsvetkov
183
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01 Jun 2023
Introspective Tips: Large Language Model for In-Context Decision Making
Liting Chen
Lu Wang
Hang Dong
Yali Du
Jie Yan
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Si Qin
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Qingwei Lin
Dongmei Zhang
LLMAG
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140
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19 May 2023
Can Language Models Solve Graph Problems in Natural Language?
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Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark
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On Transforming Reinforcement Learning by Transformer: The Development Trajectory
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Learning to Follow Instructions in Text-Based Games
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Scott Sanner
Sheila A. McIlraith
124
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Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning
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Hongyu Zang
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Behavior Cloned Transformers are Neurosymbolic Reasoners
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Yue Dai
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LOA: Logical Optimal Actions for Text-based Interaction Games
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