2 papers
cs.LG2026
Stagnant Neuron: Towards Understanding the Plasticity Loss in Multi-Agent Reinforcement Learning Value Factorization Methods
Zhengzhu Liu, Zeming Gao, Haoyuan Qin +7
Multi-Agent Reinforcement Learning (MARL) value factorization methods can suffer from a loss of plasticity, gradually failing to adapt when transferring to new task instances. We t…
cs.AI2026
When Rules Learn: A Self-Evolving Agent for Legal Case Retrieval
Mingxu Tao, Jiawei Hu, Xian Zhou +5
Legal case retrieval remains challenging due to the complexity of legal language and the need for precise lexical alignment between queries and relevant cases. Although dense retri…