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Llm as a mastermind: A survey of strategic reasoning with large language models
This paper presents a comprehensive survey of the current status and opportunities for
Large Language Models (LLMs) in strategic reasoning, a sophisticated form of reasoning …
Large Language Models (LLMs) in strategic reasoning, a sophisticated form of reasoning …
A survey on large language model-based game agents
The development of game agents holds a critical role in advancing towards Artificial General
Intelligence (AGI). The progress of LLMs and their multimodal counterparts (MLLMs) offers …
Intelligence (AGI). The progress of LLMs and their multimodal counterparts (MLLMs) offers …
Towards general computer control: A multimodal agent for red dead redemption ii as a case study
Despite the success in specific tasks and scenarios, existing foundation agents, empowered
by large models (LMs) and advanced tools, still cannot generalize to different scenarios …
by large models (LMs) and advanced tools, still cannot generalize to different scenarios …
Richelieu: Self-evolving llm-based agents for ai diplomacy
Diplomacy is one of the most sophisticated activities in human society, involving complex
interactions among multiple parties that require skills in social reasoning, negotiation, and …
interactions among multiple parties that require skills in social reasoning, negotiation, and …
Large language model for participatory urban planning
Participatory urban planning is the mainstream of modern urban planning that involves the
active engagement of residents. However, the traditional participatory paradigm requires …
active engagement of residents. However, the traditional participatory paradigm requires …
LLMs May Not Be Human-Level Players, But They Can Be Testers: Measuring Game Difficulty with LLM Agents
C **ao, BZ Yang - arxiv preprint arxiv:2410.02829, 2024 - arxiv.org
Recent advances in Large Language Models (LLMs) have demonstrated their potential as
autonomous agents across various tasks. One emerging application is the use of LLMs in …
autonomous agents across various tasks. One emerging application is the use of LLMs in …
EscapeBench: Pushing Language Models to Think Outside the Box
Language model agents excel in long-session planning and reasoning, but existing
benchmarks primarily focus on goal-oriented tasks with explicit objectives, neglecting …
benchmarks primarily focus on goal-oriented tasks with explicit objectives, neglecting …
SELU: Self-Learning Embodied MLLMs in Unknown Environments
Recently, multimodal large language models (MLLMs) have demonstrated strong visual
understanding and decision-making capabilities, enabling the exploration of autonomously …
understanding and decision-making capabilities, enabling the exploration of autonomously …
A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios
Game-theoretic scenarios have become pivotal in evaluating the social intelligence of Large
Language Model (LLM)-based social agents. While numerous studies have explored these …
Language Model (LLM)-based social agents. While numerous studies have explored these …
A contextual combinatorial bandit approach to negotiation
Learning effective negotiation strategies poses two key challenges: the exploration-
exploitation dilemma and dealing with large action spaces. However, there is an absence of …
exploitation dilemma and dealing with large action spaces. However, there is an absence of …