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Large Language Models (LLMs) like GPT-4 have revolutionized natural language processing, showing remarkable linguistic proficiency and reasoning capabilities.
Perfect equilibrium in a bargaining model
Rubinstein, A · 1982
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A multistage model of bargaining
Sobel, J · 1983
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Bargaining with incomplete information: An infinite-horizon model with two-sided uncertainty
Cramton, P. C · 1984
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Game theory
Fudenberg, D · 1991
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The dynamic pivot mechanism
Bergemann, D · 2010
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Minimax regret bounds for reinforcement learning
Azar, M. G · 2017
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An environment for autonomous driving decision-making
Leurent, E · 2018
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Reinforcement learning: An introduction
Sutton, R. S · 2018
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Dynamic mechanism design: An introduction
Bergemann, D · 2019
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Using large language models to simulate multiple humans
Aher, G · 2022
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Do as i can, not as i say: Grounding language in robotic affordances
Ahn, M · 2022
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Can large language models truly follow your instructions?
Jang, J · 2022
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Learning dynamic mechanisms in unknown environments: A reinforcement learning approach
Lyu, B · 2022
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Challenging big-bench tasks and whether chain-of-thought can solve them
Suzgun, M · 2022
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React: Synergizing reasoning and acting in language models
Yao, S · 2022
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Achiam, J · 2023
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Using large language models to simulate multiple humans and replicate human subject studies
Aher, G. V · 2023
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Playing repeated games with large language models
Akata, E · 2023
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Emergent autonomous scientific research capabilities of large language models
Boiko, D. A · 2023
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Playing games with gpt: What can we learn about a large language model from canonical strategic games?
Brookins, P · 2023
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Sparks of artificial general intelligence: Early experiments with gpt-4
Bubeck, S · 2023
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Toolllm: Facilitating large language models to master 16000+ real-world apis
Qin, Y · 2023
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Wang, Z · 2023
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Language agent tree search unifies reasoning acting and planning in language models
Zhou, A · 2023
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Zhu, X · 2023
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Introducing the next generation of claude
Anthropic · 2024
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Hallucination detection: Robustly discerning reliable answers in large language models
Chen, Y · 2023
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Can large language models serve as rational players in game theory? a systematic analysis
Fan, C · 2023
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Strategic reasoning with language models
Gandhi, K · 2023
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Large language models as rational players in competitive economics games
Guo, S · 2023
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Reasoning with language model is planning with world model
Hao, S · 2023
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Reward design with language models
Kwon, M · 2023
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Liu, Z · 2023
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How well can llms negotiate? negotiationarena platform and analysis
Bianchi, F · 2024
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Evaluating language model agency through negotiations
Davidson, T. R · 2024
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Huang, J.-t · 2024
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Can large language models explore in-context?
Krishnamurthy, A · 2024
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Lost in the middle: How language models use long contexts
Liu, N. F · 2024
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Do llm agents have regret? a case study in online learning and games
Park, C · 2024
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Reflexion: Language agents with verbal reinforcement learning
Shinn, N · 2024
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A survey on large language model based autonomous agents
Wang, L · 2024
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Large language models as commonsense knowledge for large-scale task planning
Zhao, Z · 2024
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