Papers by Peng-Fei Zhang
Abstract then Play: A Skill-centric Reinforcement Learning Framework for Text-based Games (2023.findings-acl)
Copied to clipboard
| Challenge: | Existing reinforcement learning frameworks fail to decompose the task and abstract the action autonomously. |
| Approach: | They propose a skill-centric reinforcement learning framework capable of abstracting the action in an end-to-end manner. |
| Outcome: | Empirical experiments on the Jericho environment validate the proposed framework against state-of-the-art baselines. |