From Actions to Words: Towards Abstractive-Textual Policy Summarization in RL

Sahar Admoni, Assaf Hallak, Yftah Ziser +2

Explaining reinforcement learning agents is challenging because policies emerge from complex reward structures and neural representations that are difficult for humans to interpret…