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Text-based games provide valuable environments for language-based autonomous agents.
Efficient selectivity and backup operators in monte-carlo tree search
Rémi Coulom · 2006
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Bandit based monte-carlo planning
Levente Kocsis and Csaba Szepesvári · 2006
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Learning to win by reading manuals in a monte-carlo framework
SRK Branavan, David Silver, and Regina Barzilay · 2012
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A survey of monte carlo tree search methods
Cameron B Browne, Edward Powley, Daniel Whitehouse, Simon M Lucas, Peter I Cowling, Philipp Rohlfshagen, Stephen Tavener, Diego Perez, Spyridon Samothrakis, and Simon Colton · 2012
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Deep reinforcement learning with a natural language action space
Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng, and Mari Ostendorf · 2015
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Language understanding for text-based games using deep reinforcement learning
Karthik Narasimhan, Tejas Kulkarni, and Regina Barzilay · 2015
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Mastering the game of go with deep neural networks and tree search
David Silver, Aja Huang, Chris J Maddison, Arthur Guez, Laurent Sifre, George Van Den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, et al · 2016
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Mastering the game of go without human knowledge
David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, et al · 2017
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A general reinforcement learning algorithm that masters chess, shogi, and go through self-play
David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel, et al · 2018
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Learn what not to learn: Action elimination with deep reinforcement learning
Tom Zahavy, Matan Haroush, Nadav Merlis, Daniel J Mankowitz, and Shie Mannor · 2018
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Textworld: A learning environment for text-based games
Marc-Alexandre Côté, Akos Kádár, Xingdi Yuan, Ben Kybartas, Tavian Barnes, Emery Fine, James Moore, Matthew Hausknecht, Layla El Asri, Mahmoud Adada, et al · 2019
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Learning dynamic belief graphs to generalize on text-based games
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikuláš Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, and Will Hamilton · 2020
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Graph constrained reinforcement learning for natural language action spaces
Prithviraj Ammanabrolu and Matthew Hausknecht · 2020
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How to avoid being eaten by a grue: Structured exploration strategies for textual worlds
Prithviraj Ammanabrolu, Ethan Tien, Matthew Hausknecht, and Mark O Riedl · 2020
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Playing text-based games with common sense
Sahith Dambekodi, Spencer Frazier, Prithviraj Ammanabrolu, and Mark O Riedl · 2020
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Xiaoxiao Guo, Mo Yu, Yupeng Gao, Chuang Gan, Murray Campbell, and Shiyu Chang · 2020
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Interactive fiction games: A colossal adventure
Matthew Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, and Xingdi Yuan · 2020
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Monte-carlo planning and learning with language action value estimates
Youngsoo Jang, Seokin Seo, Jongmin Lee, and Kee-Eung Kim · 2020
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Alfworld: Aligning text and embodied environments for interactive learning
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, and Matthew Hausknecht · 2020
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Deep reinforcement learning with stacked hierarchical attention for text-based games
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, and Chengqi Zhang · 2020
Fire burns, sword cuts: Commonsense inductive bias for exploration in text-based games
Dongwon Ryu, Ehsan Shareghi, Meng Fang, Yunqiu Xu, Shirui Pan, and Reza Haf · 2022
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Multi-stage episodic control for strategic exploration in text games
Jens Tuyls, Shunyu Yao, Sham Kakade, and Karthik Narasimhan · 2022
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Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou · 2022
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Perceiving the world: Question-guided reinforcement learning for text-based games
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Zhou, and Chengqi Zhang · 2022
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Everything of thoughts: Defying the law of penrose triangle for thought generation
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Keep CALM and explore: Language models for action generation in text-based games
Shunyu Yao, Rohan Rao, Matthew Hausknecht, and Karthik Narasimhan · 2020
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Xizhou Zhu, Yuntao Chen, Hao Tian, Chenxin Tao, Weijie Su, Chenyu Yang, Gao Huang, Bin Li, Lewei Lu, Xiaogang Wang, et al · 2020
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Case-based reasoning for better generalization in textual reinforcement learning
Mattia Atzeni, Shehzaad Dhuliawala, Keerthiram Murugesan, and Mrinmaya Sachan · 2021
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Monte-carlo tree search in continuous action spaces with value gradients
Jongmin Lee, Wonseok Jeon, Geon-Hyeong Kim, and Kee-Eung Kim · 2021
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Simplified belief-dependent reward mcts planning with guaranteed tree consistency
Ori Sztyglic, Andrey Zhitnikov, and Vadim Indelman · 2021
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Generalization in text-based games via hierarchical reinforcement learning
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, and Chengqi Zhang · 2021
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Language models as zero-shot planners: Extracting actionable knowledge for embodied agents
Wenlong Huang, Pieter Abbeel, Deepak Pathak, and Igor Mordatch · 2022
Cited alongside, same era.
Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin, and Dongmei Zhang · 2023
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Lgts: Dynamic task sampling using llm-generated sub-goals for reinforcement learning agents
Yash Shukla, Wenchang Gao, Vasanth Sarathy, Alvaro Velasquez, Robert Wright, and Jivko Sinapov · 2023
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Monte carlo tree search: A review of recent modifications and applications
Maciej Świechowski, Konrad Godlewski, Bartosz Sawicki, and Jacek Mańdziuk · 2023
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Plan-seq-learn: Language model guided rl for solving long horizon robotics tasks
Murtaza Dalal, Tarun Chiruvolu, Devendra Chaplot, and Ruslan Salakhutdinov · 2024
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Large language models are neurosymbolic reasoners
Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling Chen, Mykola Pechenizkiy, and Jun Wang · 2024
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Rl-gpt: Integrating reinforcement learning and code-as-policy
Shaoteng Liu, Haoqi Yuan, Minda Hu, Yanwei Li, Yukang Chen, Shu Liu, Zongqing Lu, and Jiaya Jia · 2024
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Reflexion: Language agents with verbal reinforcement learning
Noah Shinn, Federico Cassano, Ashwin Gopinath, Karthik Narasimhan, and Shunyu Yao · 2024
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Tree of thoughts: Deliberate problem solving with large language models
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Tom Griffiths, Yuan Cao, and Karthik Narasimhan · 2024
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How can llm guide rl? a value-based approach
Shenao Zhang, Sirui Zheng, Shuqi Ke, Zhihan Liu, Wanxin Jin, Jianbo Yuan, Yingxiang Yang, Hongxia Yang, and Zhaoran Wang · 2024
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Large language models as commonsense knowledge for large-scale task planning
Zirui Zhao, Wee Sun Lee, and David Hsu · 2024
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