Search Results for author:
Found 3 papers, 1 papers with code
Return-Aligned Decision Transformer
Traditional approaches in offline reinforcement learning aim to learn the optimal policy that maximizes the cumulative reward, also known as return.
DiffG-RL: Leveraging Difference between State and Common Sense
We propose a novel agent, DiffG-RL, which constructs a Difference Graph that organizes the environment states and common sense by means of interactive objects with a dedicated graph encoder.
Commonsense Knowledge from Scene Graphs for Textual Environments
They are usually imperfect information games, and their interactions are only in the textual modality.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
