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Mark O. Riedl

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Spencer Frazier

> Home > Persons > Mark O. Riedl

Publications

2022
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  - journals/corr/abs-2210-07792
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  - https://dblp.org/rec/journals/corr/abs-2210-07792
Louis Castricato, Alexander Havrilla, Shahbuland Matiana, Michael Pieler, Anbang Ye, Ian Yang, Spencer Frazier, Mark O. Riedl:
Robust Preference Learning for Storytelling via Contrastive Reinforcement Learning. CoRR abs/2210.07792 (2022)
[i71]
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  - journals/corr/abs-2212-06048
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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
[c136]
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  - conf/hucapp/SrivastavaFRF21
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Divya K. Srivastava, Spencer Frazier, Mark O. Riedl, Karen M. Feigh:
Effect of Interaction Design of Reinforcement Learning Agents on Human Satisfaction in Partially Observable Domains. VISIGRAPP (2: HUCAPP) 2021: 174-181
[i66]
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  - journals/corr/abs-2104-07472
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Louis Castricato, Spencer Frazier, Jonathan C. Balloch, Mark O. Riedl:
Fabula Entropy Indexing: Objective Measures of Story Coherence. CoRR abs/2104.07472 (2021)
[i65]
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  - journals/corr/abs-2104-09469
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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)
[i54]
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  - journals/corr/abs-2112-03808
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Louis Castricato, Spencer Frazier, Jonathan C. Balloch, Nitya Tarakad, Mark O. Riedl:
Automated Story Generation as Question-Answering. CoRR abs/2112.03808 (2021)
2020
[c131]
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  - conf/aies/NahianFRH20
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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
[c127]
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  - conf/inlg/PengLFR20
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Xiangyu Peng, Siyan Li, Spencer Frazier, Mark O. Riedl:
Reducing Non-Normative Text Generation from Language Models. INLG 2020: 374-383
[i49]
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  - journals/corr/abs-2001-08764
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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)
[i40]
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  - journals/corr/abs-2012-02757
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Sahith N. Dambekodi, Spencer Frazier, Prithviraj Ammanabrolu, Mark O. Riedl:
Playing Text-Based Games with Common Sense. CoRR abs/2012.02757 (2020)
2019
[c123]
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  - conf/aiide/FrazierR19
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Spencer Frazier, Mark O. Riedl:
Improving Deep Reinforcement Learning in Minecraft with Action Advice. AIIDE 2019: 146-152
[i34]
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  - journals/corr/abs-1908-01007
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Spencer Frazier, Mark O. Riedl:
Improving Deep Reinforcement Learning in Minecraft with Action Advice. CoRR abs/1908.01007 (2019)
[i25]
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  - journals/corr/abs-1912-03553
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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
[c73]
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  - conf/hcomp/FrazierR14
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Spencer Frazier, Mark O. Riedl:
Persistent and Pervasive Real-World Sensing Using Games. HCOMP 2014: 16-17

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