Counting to Explore and Generalize in Text-based Games

Code

• github.com/xingdi-eric-yuan/TextWorld-Coin-Collector
  OfficialIn paperpytorch★ 0
• github.com/IBM/context-relevant-pruning-textrl
  pytorch★ 8

Abstract

We propose a recurrent RL agent with an episodic exploration mechanism that helps discovering good policies in text-based game environments. We show promising results on a set of generated text-based games of varying difficulty where the goal is to collect a coin located at the end of a chain of rooms. In contrast to previous text-based RL approaches, we observe that our agent learns policies that generalize to unseen games of greater difficulty.

Tasks

Reproductions