Exploring Decision-Making Capabilities of LLM Agents: An Experimental Study on Jump-Jump Game
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Abstract (arXiv)
The Jump-Jump game, as a simple yet challenging casual game, provides an ideal testing environment for studying LLM decision-making capabilities. The game requires players to precisely control jumping force based on current position and target platform distance, involving multiple cognitive aspects including spatial reasoning, physical modeling, and strategic planning. It illustrates the basic gameplay mechanics of the Jump-Jump game, where the player character (red circle) must jump across platforms with appropriate force to maximize score.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 25 references that are in the map. First posted on arXiv 30 Aug 2025.
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References · 4
- 2024Putting GPT-4o to the Sword: A Comprehensive Evaluation of Language, Vision, Speech, and Multimodal Proficiencycited by 31
- 2024Jointly RS Image Deblurring and Super-Resolution with Adjustable-Kernel and Multi-Domain Attentioncited by 10
- 2025Joint Lossless Compression and Steganography for Medical Images via Large Language Modelscited by 6
- 2025ChronoSelect: Robust Learning with Noisy Labels via Dynamics Temporal Memorycited by 4
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- 2024How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments
- 2026Spatial Reasoning in LLM Game Agents: Impact of Causal Context and Multi-Step Planning
- 2026SpeedrunBench: Challenging LLM Agents with Video Game Speedrunning
- 2025Approximating Human Strategic Reasoning with LLM-Enhanced Recursive Reasoners Leveraging Multi-agent Hypergames
- 2025Beyond Nash Equilibrium: Bounded Rationality of LLMs and humans in Strategic Decision-making