Re-understanding Finite-State Representations of Recurrent Policy Networks

6 June 2020

Papers citing "Re-understanding Finite-State Representations of Recurrent Policy Networks"

2 / 2 papers shown

Title
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards Xinyi Yang Liang Zeng Heng Dong C. Yu X. Wu H. Yang Yu Wang Milind Tambe Tonghan Wang 68 2 0 18 Feb 2025
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning Guy Azran Mohamad H. Danesh Stefano V. Albrecht Sarah Keren AI4CE 27 1 0 11 Jul 2023