Pre-trained Language Models as Prior Knowledge for Playing Text-based Games

07/18/2021
by   Ishika Singh, et al.
4

Recently, text world games have been proposed to enable artificial agents to understand and reason about real-world scenarios. These text-based games are challenging for artificial agents, as it requires understanding and interaction using natural language in a partially observable environment. In this paper, we improve the semantic understanding of the agent by proposing a simple RL with LM framework where we use transformer-based language models with Deep RL models. We perform a detailed study of our framework to demonstrate how our model outperforms all existing agents on the popular game, Zork1, to achieve a score of 44.7, which is 1.6 higher than the state-of-the-art model. Our proposed approach also performs comparably to the state-of-the-art models on the other set of text games.

READ FULL TEXT
research
07/08/2023

ScriptWorld: Text Based Environment For Learning Procedural Knowledge

Text-based games provide a framework for developing natural language und...
research
05/17/2018

Language Expansion In Text-Based Games

Text-based games are suitable test-beds for designing agents that can le...
research
04/06/2023

Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions

Large language models (LLMs) such as ChatGPT and GPT-4 have recently dem...
research
05/08/2023

Knowledge-enhanced Agents for Interactive Text Games

Communication via natural language is a crucial aspect of intelligence, ...
research
03/25/2021

Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents

Text-based games simulate worlds and interact with players using natural...
research
02/10/2023

Long-Context Language Decision Transformers and Exponential Tilt for Interactive Text Environments

Text-based game environments are challenging because agents must deal wi...
research
10/15/2022

Revisiting the Roles of "Text" in Text Games

Text games present opportunities for natural language understanding (NLU...

Please sign up or login with your details

Forgot password? Click here to reset