10 citations · 11 across the 8 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.AI2024
SMAC-Hard: Enabling Mixed Opponent Strategy Script and Self-play on SMAC
Yue Deng, Yan Yu, Weiyu Ma +4
The availability of challenging simulation environments is pivotal for advancing the field of Multi-Agent Reinforcement Learning (MARL). In cooperative MARL settings, the StarCraft…
cs.AI2024
SMAC-R1: The Emergence of Intelligence in Decision-Making Tasks
Yue Deng, Weiyu Ma, Yuxin Fan +4
StarCraft Multi-Agent Challenge (SMAC) has been one of the most commonly used experimental environments in multi-agent reinforcement learning (MARL), where the specific task is to…
cs.CL2024
Token-level Direct Preference Optimization
Yongcheng Zeng, Guoqing Liu, Weiyu Ma +3
Fine-tuning pre-trained Large Language Models (LLMs) is essential to align them with human values and intentions. This process often utilizes methods like pairwise comparisons and…