Escaping Local Views: Discovering Latent Concepts for Interpretable Multi-Agent Reinforcement Learning
This work proposes a novel interpretable framework, called escaping local views (ELV), which introduces semantically structured latent concepts to render policy decisions transparent and incorporates a concept prediction module that derives an intrinsic reward from next-concept prediction errors, which incentivizes age...
Yi-Jie Sun, Sanquan Sun, Yan-Da Zhu et al.
· 0 citations