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Found 5 papers, 5 papers with code
Shall We Talk: Exploring Spontaneous Collaborations of Competing LLM Agents
Recent advancements have shown that agents powered by large language models (LLMs) possess capabilities to simulate human behaviors and societal dynamics.
Smart Agent-Based Modeling: On the Use of Large Language Models in Computer Simulations
ABM's strength lies in its bottom-up methodology, illuminating emergent phenomena by modeling the behaviors of individual components of a system.
Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models
Such situated evaluation provides a more comprehensive assessment of mental states and potentially mitigates the risk of shortcuts and data leakage.
Think, Act, and Ask: Open-World Interactive Personalized Robot Navigation
To address these limitations, we introduce Zero-shot Interactive Personalized Object Navigation (ZIPON), where robots need to navigate to personalized goal objects while engaging in conversations with users.
Go Beyond Imagination: Maximizing Episodic Reachability with World Models
Efficient exploration is a challenging topic in reinforcement learning, especially for sparse reward tasks.
