LBF
Emerging4papers using it
2025first seen
The 'LBF' dataset/benchmark is used to evaluate Multi-Agent Reinforcement Learning (MARL) algorithms in terms of their performance and efficiency in asynchronous operational paradigms.
Papers using LBF (4)
- Dual-Gated Epistemic Time-Dilation: Autonomous Compute Modulation in Asynchronous MARLPrism: Spectral Parameter Sharing for Multi-Agent Reinforcement LearningFrom General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent CoordinationEnhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration