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Spencer Frazier
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2020 – today
- 2024
- [j1]Md Sultan Al Nahian
, Spencer Frazier, Mark O. Riedl, Brent Harrison
Training Value-Aligned Reinforcement Learning Agents Using a Normative Prior. IEEE Trans. Artif. Intell. 5(7): 3350-3361 (2024) - 2022
- [i10]Louis Castricato, Alexander Havrilla, Shahbuland Matiana, Michael Pieler, Anbang Ye, Ian Yang
Robust Preference Learning for Storytelling via Contrastive Reinforcement Learning. CoRR abs/2210.07792 (2022) - [i9]Md Sultan Al Nahian, Spencer Frazier, Brent Harrison, Mark O. Riedl:
Machine Learning Approaches for Principle Prediction in Naturally Occurring Stories. CoRR abs/2212.06048 (2022) - 2021
- [c8]Divya K. Srivastava
Effect of Interaction Design of Reinforcement Learning Agents on Human Satisfaction in Partially Observable Domains. VISIGRAPP (2: HUCAPP) 2021: 174-181 - [i8]Louis Castricato, Spencer Frazier, Jonathan C. Balloch, Mark O. Riedl:
Fabula Entropy Indexing: Objective Measures of Story Coherence. CoRR abs/2104.07472 (2021) - [i7]Md Sultan Al Nahian, Spencer Frazier, Brent Harrison, Mark O. Riedl:
Training Value-Aligned Reinforcement Learning Agents Using a Normative Prior. CoRR abs/2104.09469 (2021) - [i6]Shahbuland Matiana, J. R. Smith, Ryan Teehan, Louis Castricato, Stella Biderman, Leo Gao, Spencer Frazier:
Cut the CARP: Fishing for zero-shot story evaluation. CoRR abs/2110.03111 (2021) - [i5]Louis Castricato, Spencer Frazier, Jonathan C. Balloch, Nitya Tarakad, Mark O. Riedl:
Automated Story Generation as Question-Answering. CoRR abs/2112.03808 (2021) - 2020
- [c7]Md Sultan Al Nahian, Spencer Frazier, Mark O. Riedl, Brent Harrison:
Learning Norms from Stories: A Prior for Value Aligned Agents. AIES 2020: 124-130 - [c6]Xiangyu Peng, Siyan Li, Spencer Frazier, Mark O. Riedl:
Reducing Non-Normative Text Generation from Language Models. INLG 2020: 374-383 - [i4]Xiangyu Peng, Siyan Li, Spencer Frazier, Mark O. Riedl:
Fine-Tuning a Transformer-Based Language Model to Avoid Generating Non-Normative Text. CoRR abs/2001.08764 (2020) - [i3]Sahith N. Dambekodi, Spencer Frazier, Prithviraj Ammanabrolu, Mark O. Riedl:
Playing Text-Based Games with Common Sense. CoRR abs/2012.02757 (2020)
2010 – 2019
- 2019
- [c5]Spencer Frazier, Mark O. Riedl:
Improving Deep Reinforcement Learning in Minecraft with Action Advice. AIIDE 2019: 146-152 - [i2]Spencer Frazier, Mark O. Riedl:
Improving Deep Reinforcement Learning in Minecraft with Action Advice. CoRR abs/1908.01007 (2019) - [i1]Spencer Frazier, Md Sultan Al Nahian, Mark O. Riedl, Brent Harrison:
Learning Norms from Stories: A Prior for Value Aligned Agents. CoRR abs/1912.03553 (2019) - 2014
- [c4]Spencer Frazier, Mark O. Riedl:
Persistent and Pervasive Real-World Sensing Using Games. HCOMP 2014: 16-17 - 2013
- [c3]Spencer Frazier, Chao Huang, Sarit Kraus, Yu-Han Chang, Rajiv T. Maheswaran:
Adaptive Agent for Player-Specific Fitness and Health Incentives in Mobile Location Based Games. AAAI Spring Symposium: Data Driven Wellness 2013 - 2012
- [c2]Spencer Frazier, Alex Newnan, Yu-Han Chang, Rajiv T. Maheswaran:
Team-It: location-based mobile games for multi-agent coordination and negotiation (demonstration). AAMAS 2012: 1505-1506 - [c1]Spencer Frazier, Alex Newnan, Rajiv T. Maheswaran, Yu-Han Chang, Fotos Frangoudes:
TEAM-IT : Location-Based Gaming in Real and Virtual Environments. AIIDE 2012
Coauthor Index
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