Mark Riedl

Full Professor, College of Computing, Georgia Institute of Technology

Joined

July 2019

Names

Mark Riedl

Emails

****@cc.gatech.edu (Confirmed)

Personal Links

Homepage

Google Scholar

Semantic Scholar

Career & Education History

Full Professor

College of Computing, Georgia Institute of Technology (gatech.edu)

2007 – Present

Advisors, Relations & Conflicts

PhD Advisor

R. Michael Young

2001 – 2004

Expertise

AI and Law

2022 – 2025

Value alignment

2016 – 2025

Explainable AI

2008 – 2025

Story generation

2002 – 2025

Game AI

2002 – 2025

Publications

Do Language Models Agree with Human Perceptions of Suspense in Stories?
Glenn Matlin, Devin Zhang, Rodrigo Barroso Loza, Diana M. Popescu, Joni Isbell, Chandreyi Chakraborty, Mark Riedl
- COLM 2025
- Readers: Everyone
Novelty Detection in Reinforcement Learning with World Models
Geigh Zollicoffer, Kenneth Eaton, Jonathan C Balloch, Julia Kim, Wei Zhou, Robert Wright, Mark Riedl
- ICML 2025 spotlightposter
- Readers: Everyone
Multi-Attribute Constraint Satisfaction via Language Model Rewriting
Ashutosh Baheti, Debanjana Chakraborty, Faeze Brahman, Ronan Le Bras, Ximing Lu, Nouha Dziri, Yejin Choi, Mark Riedl, Maarten Sap
- Accepted by TMLR
- Readers: Everyone
The Interpretability of Codebooks in Model-Based Reinforcement Learning is Limited
Kenneth Eaton, Jonathan C Balloch, Julia Kim, Mark Riedl
- RLC 2024 ICBINB Poster
- Readers: Everyone
Novelty Detection in Reinforcement Learning with World Models
Geigh Zollicoffer, Kenneth Eaton, Jonathan C Balloch, Julia Kim, Mark Riedl, Robert Wright
- RLSW 2024 Poster
- Readers: Everyone
Characteristics of Effective Exploration for Transfer in Reinforcement Learning
Jonathan C Balloch, Rishav Bhagat, Geigh Zollicoffer, Ruoran Jia, Julia Kim, Mark Riedl
- Finding the Frame: RLC 2024 Poster
- Readers: Everyone
Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models
Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark Riedl
- ICLR 2024 poster
- Readers: Everyone
Neural Story Planning
Anbang Ye, Christopher Zhang Cui, Taiwei Shi, Mark Riedl
- 21 Nov 2022 (modified: 15 Feb 2026)
- creativeAI
- Readers: Everyone
Inherently Explainable Reinforcement Learning in Natural Language
XIANGYU PENG, Mark Riedl, Prithviraj Ammanabrolu
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
Modeling Worlds in Text
Prithviraj Ammanabrolu, Mark Riedl
- Published: 18 Sept 2021, Last Modified: 22 Jun 2025
- CSKB
- Readers: Everyone

View all 13 publications

Co-Authors

View all 29 co-authors