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Found 3 papers, 2 papers with code
Red Teaming Game: A Game-Theoretic Framework for Red Teaming Language Models
In this paper, we present Red-teaming Game (RTG), a general game-theoretic framework without manual annotation.
Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning
In this work, we leverage LLMs to understand and profile the system dynamics by a prompt-based grounded action transformation.
MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library
A significant challenge facing researchers in the area of multi-agent reinforcement learning (MARL) pertains to the identification of a library that can offer fast and compatible development for multi-agent tasks and algorithm combinations, while obviating the need to consider compatibility issues.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
