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The swift evolution of Large-scale Models (LMs), either language-focused or multi-modal, has garnered extensive attention in both academy and industry.
The 2003 Report of the IGDA’s Artificial Intelligence Interface Standards Committee
Alexander Nareyek and Bjoern Knafla et al · 2003
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The 2004 Report of the IGDA’s Artificial Intelligence Interface Standards Committee
Alexander Nareyek and Börje F. Karlsson et al · 2004
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The 2005 Report of the IGDA’s Artificial Intelligence Interface Standards Committee
Alexander Nareyek and Nathan Combs et al · 2005
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Neural mechanisms for interacting with a world full of action choices
Paul Cisek and John F Kalaska · 2010
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The arcade learning environment: An evaluation platform for general agents
Marc G Bellemare and Yavar Naddaf et al · 2013
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Dota 2 with large scale deep reinforcement learning
Christopher Berner and Greg Brockman et al · 2019
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Reinforcement learning agents for ubisoft’s roller champions
Nancy Iskander and Aurelien Simoni et al · 2020
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Video pretraining (vpt): Learning to act by watching unlabeled online videos
Bowen Baker and Ilge Akkaya et al · 2022
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Minedojo: Building open-ended embodied agents with internet-scale knowledge
Linxi Fan and Guanzhi Wang et al · 2022
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Inner monologue: Embodied reasoning through planning with language models
Wenlong Huang and Fei Xia et al · 2022
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Human-level play in the game of Diplomacy by combining language models with strategic reasoning
Meta’s Fundamental AI Research Diplomacy Team · 2022
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Social simulacra: Creating populated prototypes for social computing systems
Joon Sung Park and Lindsay Popowski et al · 2022
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Large language models are pretty good zero-shot video game bug detectors
Mohammad Reza Taesiri and Finlay Macklon et al · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei and Xuezhi Wang et al · 2022
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LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games
Sahar Abdelnabi and Amr Gomaa et al · 2023
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Towards grounded dialogue generation in video game environments
Nader Akoury and Ronan Salz et al · 2023
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A framework for exploring player perceptions of llm-generated dialogue in commercial video games
Nader Akoury, Qian Yang, and Mohit Iyyer · 2023
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Personalized quest and dialogue generation in role-playing games: A knowledge graph-and language model-based approach
Trevor Ashby and Braden K Webb et al · 2023
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Groot: Learning to follow instructions by watching gameplay videos
Shaofei Cai and Bowei Zhang et al · 2023
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GameGPT: Multi-agent collaborative framework for game development
Dake Chen and Hanbin Wang et al · 2023
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AutoAgents: A framework for Automatic Agent Generation
Guangyao Chen and Siwei Dong et al · 2023
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Towards end-to-end embodied decision making with multi-modal large language model
Liang Chen and Yichi Zhang et al · 2023
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Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors in agents
Weize Chen and Yusheng Su et al · 2023
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DesignGPT: Multi-agent collaboration in design
Shiying Ding and Xinyi Chen et al · 2023
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COTTAGE: Coherent Text Adventure Games Generation
Yijiang River Dong · 2023
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Palm-e: An embodied multimodal language model
Danny Driess and Fei Xia et al · 2023
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Improving factuality and reasoning in language models through multiagent debate
Yilun Du and Shuang Li et al · 2023
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Llama rider: Spurring large language models to explore the open world
Yicheng Feng and Yuxuan Wang et al · 2023
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Improving language model negotiation with self-play and in-context learning from ai feedback
Yao Fu and Hao Peng et al · 2023
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Mindagent: Emergent gaming interaction
Ran Gong and Qiuyuan Huang et al · 2023
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Suspicion-agent: Playing imperfect information games with theory of mind-aware GPT-4
Jiaxian Guo and Bo Yang et al · 2023
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Are ChatGPT and GPT-4 Good Poker Players? – A Pre-Flop Analysis
Akshat Gupta · 2023
Cited alongside, same era.
MetaGPT: Meta programming for a multi-agent collaborative framework
Sirui Hong and Mingchen Zhuge et al · 2023
Cited alongside, same era.
Ark: Augmented reality with knowledge interactive emergent ability
Qiuyuan Huang and Jae Sung Park et al · 2023
Cited alongside, same era.
Alphablock: Embodied finetuning for vision-language reasoning in robot manipulation
Chuhao Jin and Wenhui Tan et al · 2023
Cited alongside, same era.
Lyfe agents: Generative agents for low-cost real-time social interactions
Open-world story generation with structured knowledge enhancement: A comprehensive survey
Yuxin Wang and Jieru Lin et al · 2023
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Rolellm: Benchmarking, eliciting, and enhancing role-playing abilities of large language models
Zekun Moore Wang and Zhongyuan Peng et al · 2023
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Describe, explain, plan and select: Interactive planning with llms enables open-world multi-task agents
Zihao Wang and Shaofei Cai et al · 2023
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Jarvis-1: Open-world multi-task agents with memory-augmented multimodal language models
Zihao Wang and Shaofei Cai et al · 2023
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Visual ChatGPT: Talking, drawing and editing with visual foundation models
Chenfei Wu and Shengming Yin et al · 2023
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Zhao Kaiya and Michelangelo Naim et al · 2023
Cited alongside, same era.
Llm-based agent society investigation: Collaboration and confrontation in avalon gameplay
Yihuai Lan and Zhiqiang Hu et al · 2023
Cited alongside, same era.
CAMEL: Communicative agents for ’mind’ exploration of large language model society
Guohao Li and Hasan Abed Al Kader Hammoud et al · 2023
Cited alongside, same era.
Auto mc-reward: Automated dense reward design with large language models for minecraft
Hao Li and Xue Yang et al · 2023
Cited alongside, same era.
Assessing logical puzzle solving in large language models: Insights from a minesweeper case study
Yinghao Li, Haorui Wang, and Chao Zhang · 2023
Cited alongside, same era.
Yuan Li, Yixuan Zhang, and Lichao Sun · 2023
Cited alongside, same era.
Yuanzhi Liang, Linchao Zhu, and Yi Yang · 2023
Cited alongside, same era.
Steve-1: A generative model for text-to-behavior in minecraft
Shalev Lifshitz and Keiran Paster et al · 2023
Cited alongside, same era.
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Dekun Wu and Haochen Shi et al · 2023
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Tidybot: Personalized robot assistance with large language models
Jimmy Wu and Rika Antonova et al · 2023
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Autogen: Enabling next-gen llm applications via multi-agent conversation framework
Qingyun Wu and Gagan Bansal et al · 2023
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SPRING: Studying papers and reasoning to play games
Yue Wu and So Yeon Min et al · 2023
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Smartplay: A benchmark for llms as intelligent agents
Yue Wu and Xuan Tang et al · 2023
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Embodied task planning with large language models
Zhenyu Wu and Ziwei Wang et al · 2023
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The rise and potential of large language model based agents: A survey
Zhiheng Xi and Wenxiang Chen et al · 2023
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Robotic skill acquisition via instruction augmentation with vision-language models
Ted Xiao and Harris Chan et al · 2023
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Exploring large language models for communication games: An empirical study on werewolf
Yuzhuang Xu and Shuo Wang et al · 2023
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Language agents with reinforcement learning for strategic play in the werewolf game
Zelai Xu and Chao Yu et al · 2023
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Octopus: Embodied vision-language programmer from environmental feedback
Jingkang Yang and Yuhao Dong et al · 2023
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Skill reinforcement learning and planning for open-world long-horizon tasks
Haoqi Yuan and Chi Zhang et al · 2023
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Building open-ended embodied agent via language-policy bidirectional adaptation
Shaopeng Zhai and Jie Wang et al · 2023
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Building cooperative embodied agents modularly with large language models
Hongxin Zhang and Weihua Du et al · 2023
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Sprint: Scalable policy pre-training via language instruction relabeling
Jesse Zhang and Karl Pertsch et al · 2023
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Steve-eye: Equipping llm-based embodied agents with visual perception in open worlds
Sipeng Zheng and Jiazheng Liu et al · 2023
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Agents: An open-source framework for autonomous language agents
Wangchunshu Zhou and Yuchen Eleanor Jiang et al · 2023
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Calypso: Llms as dungeon master’s assistants
Andrew Zhu and Lara Martin et al · 2023
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Ghost in the minecraft: Generally capable agents for open-world environments via large language models with text-based knowledge and memory
Xizhou Zhu and Yuntao Chen et al · 2023
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Pokéllmon: A human-parity agent for pokémon battles with large language models
Sihao Hu, Tiansheng Huang, and Ling Liu · 2024
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Llm-powered hierarchical language agent for real-time human-ai coordination
Jijia Liu and Chao Yu et al · 2024
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Scaling instructable agents across many simulated worlds
Maria Abi Raad and Arun Ahuja et al · 2024
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Searching bug instances in gameplay video repositories
Mohammad Reza Taesiri and Finlay Macklon et al · 2024
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True knowledge comes from practice: Aligning large language models with embodied environments via reinforcement learning
Weihao Tan and Wentao Zhang et al · 2024
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Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study
Weihao Tan and Ziluo Ding et al · 2024
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Proagent: Building proactive cooperative ai with large language models
Ceyao Zhang and Kaijie Yang et al · 2024
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