2 papers
cs.AI2026
ACPO: Agent-Chained Policy Optimization for Multi-Agent Reinforcement Learning
Daiki E. Matsunaga, Junho Na, Tri Wahyu Guntara +4
Cooperative tasks in Multi-Agent Reinforcement Learning (MARL) require agents to collectively maximize a shared return. Under the Centralized Training with Decentralized Execution…
cs.AI2024
GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets
Oh Joon Kwon, Daiki E. Matsunaga, Kee-Eung Kim
A critical component of the current generation of language models is preference alignment, which aims to precisely control the model's behavior to meet human needs and values. The…