Agents
ACTOR S
We also demonstrate its effectiveness in generating robotic tasks.
WhodunitBench: Evaluating Large Multimodal Agents via Murder Mystery Games
Recently, large language models (LLMs) have achieved superior performance, empowering the development of large multimodal agents (LMAs).
Hierarchical Multi-Agent Skill Discovery Mingyu Yang 1, Yaodong Yang
Skill discovery has shown significant progress in unsupervised reinforcement learning.
Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents
In this paper, we introduce a generalization of the standard Stackelberg Games (SGs) framework: Calibrated Stackelberg Games (CSGs) .
Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents
In this paper, we introduce a generalization of the standard Stackelberg Games (SGs) framework: Calibrated Stackelberg Games (CSGs) .
INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness Hung Le
INDICT: a new framework that empowers LLMs with Internal Dialogues of Critiques for both safety and helpfulness guidance.
