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Christopher Cui

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI3
ORCID 0000-0002-0116-634X

identity via Semantic Scholar / OpenAlex

most citedThespian: Multi-Character Text Role-Playing Game Agents

2 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing cs.AIShow all

3 papers · 1 filter

cs.AI2025

TALES: Text Adventure Learning Environment Suite

Christopher Zhang Cui, Xingdi Yuan, Ziang Xiao +2

Reasoning is an essential skill to enable Large Language Models (LLMs) to interact with the world. As tasks become more complex, they demand increasingly sophisticated and diverse…

cs.AI2023★ 2 cited

Thespian: Multi-Character Text Role-Playing Game Agents

Christopher Cui, Xiangyu Peng, Mark Riedl

Text-adventure games and text role-playing games are grand challenges for reinforcement learning game playing agents. Text role-playing games are open-ended environments where an a…

cs.AI2023

Story Shaping: Teaching Agents Human-like Behavior with Stories

Xiangyu Peng, Christopher Cui, Wei Zhou +2

Reward design for reinforcement learning agents can be difficult in situations where one not only wants the agent to achieve some effect in the world but where one also cares about…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.