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Imaginative play is an area of creativity that could allow robots to engage with the world around them in a much more personified way.
Formally modeling pretend object play
Zook, A.; Magerko, B.; and Riedl, M. 2011 · 2011
Earlier work this paper cites.
Language Understanding for Text-based Games Using Deep Reinforcement Learning
Narasimhan, K.; Kulkarni, T.; and Barzilay, R. 2015 · 2015
Earlier work this paper cites.
Textworld: A learning environment for text-based games
Côté, M.-A.; Kádár, A.; Yuan, X.; Kybartas, B.; Barnes, T.; Fine, E.; Moore, J.; Hausknecht, M.; Asri, L. E.; Adada, M.; et al. 2018 · 2018
Earlier work this paper cites.
Event Representations for Automated Story Generation with Deep Neural Nets
Martin, L.; Ammanabrolu, P.; Wang, X.; Hancock, W.; Singh, S.; Harrison, B.; and Riedl, M. 2018 · 2018
Earlier work this paper cites.
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Shridhar, M.; Yuan, X.; Côté, M.-A.; Bisk, Y.; Trischler, A.; and Hausknecht, M. 2021 · 2021
Cited alongside, same era.
ChatGPT: A Large-Scale Open-Domain Chatbot
OpenAI. 2022 · 2022
Cited alongside, same era.
Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning
Peng, X.; Li, S.; Wiegreffe, S.; and Riedl, M. 2022a · 2022
Cited alongside, same era.
Inherently explainable reinforcement learning in natural language
Peng, X.; Riedl, M.; and Ammanabrolu, P. 2022 · 2022
Cited alongside, same era.
Guiding Neural Story Generation with Reader Models
Peng, X.; Xie, K.; Alabdulkarim, A.; Kayam, H.; Dani, S.; and Riedl, M. 2022b · 2022
Later among the works it cites.
ScienceWorld: Is your Agent Smarter than a 5th Grader?
Wang, R.; Jansen, P.; Côté, M.-A.; and Ammanabrolu, P. 2022 · 2022
Later among the works it cites.
Story Shaping: Teaching Agents Human-like Behavior with Stories
Peng, X.; Cui, C.; Zhou, W.; Jia, R.; and Riedl, M. 2023 · 2023
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