2026
HPS: Hyperspherical Parameter Sharing for Efficient Multi-Agent Reinforcement Learning
ICML 2026poster
Parameter Sharing (PS) is widely used to improve efficiency in Multi-Agent Reinforcement Learning (MARL), but it can limit behavioral diversity and degrade performance. This limitation stems from gradient conflicts among agents on shared weights, which hinders effective policy learning. To fully cha…