Spencer Frazier

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 15

Top Topics

Preference Learning

Reinforcement Learning

Partially Observable Domains

Story Generation

Top Venues

IEEE Trans. Artif. Intell.

Publications

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) (2024)
Louis Castricato, Alexander Havrilla, Shahbuland Matiana, Michael Pieler, Anbang Ye, Ian Yang, Spencer Frazier, Mark Riedl
Robust Preference Learning for Storytelling via Contrastive Reinforcement Learning. CoRR (2022)
Md Sultan Al Nahian, Spencer Frazier, Brent Harrison, Mark O. Riedl
Machine Learning Approaches for Principle Prediction in Naturally Occurring Stories. CoRR (2022)
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 (2021)
Louis Castricato, Spencer Frazier, Jonathan C. Balloch, Nitya Tarakad, Mark Riedl
Automated Story Generation as Question-Answering. CoRR (2021)
Divya Srivastava, Spencer Frazier, Mark Riedl, Karen M. Feigh
Effect of Interaction Design of Reinforcement Learning Agents on Human Satisfaction in Partially Observable Domains. VISIGRAPP (2: HUCAPP) (2021)
Louis Castricato, Spencer Frazier, Jonathan C. Balloch, Mark Riedl
Fabula Entropy Indexing: Objective Measures of Story Coherence. CoRR (2021)
Md Sultan Al Nahian, Spencer Frazier, Brent Harrison, Mark Riedl
Training Value-Aligned Reinforcement Learning Agents Using a Normative Prior. CoRR (2021)
Md Sultan Al Nahian, Spencer Frazier, Mark Riedl, Brent Harrison
Learning Norms from Stories: A Prior for Value Aligned Agents. AIES (2020)
Xiangyu Peng, Siyan Li, Spencer Frazier, Mark Riedl
Fine-Tuning a Transformer-Based Language Model to Avoid Generating Non-Normative Text. CoRR (2020)
Sahith N. Dambekodi, Spencer Frazier, Prithviraj Ammanabrolu, Mark O. Riedl
Playing Text-Based Games with Common Sense. CoRR (2020)
Xiangyu Peng, Siyan Li, Spencer Frazier, Mark Riedl
Reducing Non-Normative Text Generation from Language Models. INLG (2020)
Spencer Frazier, Mark Riedl
Improving Deep Reinforcement Learning in Minecraft with Action Advice. CoRR (2019)
Spencer Frazier, Mark Riedl
Improving Deep Reinforcement Learning in Minecraft with Action Advice. AIIDE (2019)
Spencer Frazier, Md Sultan Al Nahian, Mark Riedl, Brent Harrison
Learning Norms from Stories: A Prior for Value Aligned Agents. CoRR (2019)
Spencer Frazier, Mark Riedl
Persistent and Pervasive Real-World Sensing Using Games. HCOMP (2014)
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)
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)
Spencer Frazier, Alex Newnan, Rajiv T. Maheswaran, Yu-Han Chang, Fotos Frangoudes
TEAM-IT : Location-Based Gaming in Real and Virtual Environments. AIIDE (2012)