Team-It: location-based mobile games for multi-agent coordination and negotiation (demonstration). - Spencer Frazier; Alex Newnan; Yu-Han Chang; Rajiv T. Maheswaran (AAMAS, 2012)

TEAM-IT : Location-Based Gaming in Real and Virtual Environments. - Spencer Frazier; Alex Newnan; Rajiv T. Maheswaran; Yu-Han Chang; Fotos Frangoudes (AIIDE, 2012)

Adaptive Agent for Player-Specific Fitness and Health Incentives in Mobile Location Based Games. - Spencer Frazier; Chao Huang; Sarit Kraus; Yu-Han Chang; Rajiv T. Maheswaran (AAAI Spring Symposium: Data Driven Wellness, 2013)

Persistent and Pervasive Real-World Sensing Using Games. - Spencer Frazier; Mark O. Riedl (HCOMP, 2014)

Improving Deep Reinforcement Learning in Minecraft with Action Advice. - Spencer Frazier; Mark O. Riedl (AIIDE, 2019)

Learning Norms from Stories: A Prior for Value Aligned Agents. - Md Sultan Al Nahian; Spencer Frazier; Mark O. Riedl; Brent Harrison (AIES, 2020)

Reducing Non-Normative Text Generation from Language Models. - Xiangyu Peng; Siyan Li; Spencer Frazier; Mark O. Riedl (INLG, 2020)

Fine-Tuning a Transformer-Based Language Model to Avoid Generating Non-Normative Text. - Xiangyu Peng; Siyan Li; Spencer Frazier; Mark O. Riedl (CoRR, 2020)

Playing Text-Based Games with Common Sense. - Sahith N. Dambekodi; Spencer Frazier; Prithviraj Ammanabrolu; Mark O. Riedl (CoRR, 2020)

Effect of Interaction Design of Reinforcement Learning Agents on Human Satisfaction in Partially Observable Domains. - Divya K. Srivastava; Spencer Frazier; Mark O. Riedl; Karen M. Feigh (VISIGRAPP (2: HUCAPP), 2021)

Fabula Entropy Indexing: Objective Measures of Story Coherence. - Louis Castricato; Spencer Frazier; Jonathan C. Balloch; Mark O. Riedl (CoRR, 2021)

Cut the CARP: Fishing for zero-shot story evaluation. - Shahbuland Matiana; J. R. Smith; Ryan Teehan; Louis Castricato; Stella Biderman; Leo Gao; Spencer Frazier (CoRR, 2021)

Automated Story Generation as Question-Answering. - Louis Castricato; Spencer Frazier; Jonathan C. Balloch; Nitya Tarakad; Mark O. Riedl (CoRR, 2021)

Robust Preference Learning for Storytelling via Contrastive Reinforcement Learning. - Louis Castricato; Alexander Havrilla; Shahbuland Matiana; Michael Pieler; Anbang Ye; Ian Yang; Spencer Frazier; Mark O. Riedl (CoRR, 2022)

Machine Learning Approaches for Principle Prediction in Naturally Occurring Stories. - Md Sultan Al Nahian; Spencer Frazier; Brent Harrison; Mark O. Riedl (CoRR, 2022)

The Goofus & Gallant Story Corpus for Practical Value Alignment. - Md Sultan Al Nahian; Tasmia Tasrin; Spencer Frazier; Mark O. Riedl; Brent Harrison (ICMLA, 2024)

Training Value-Aligned Reinforcement Learning Agents Using a Normative Prior. - Md Sultan Al Nahian; Spencer Frazier; Mark O. Riedl; Brent Harrison (IEEE Trans. Artif. Intell., 2024)