Description Logic in Practice: A CLASSIC Application. - Deborah L. McGuinness; Lori Alperin Resnick; Charles Lee Isbell Jr. (IJCAI, 1995)

Reasoning with Black Boxes: Handling Test Concepts in CLASSIC. - Alexander Borgida; Charles L. Isbell Jr.; Deborah L. McGuinness (Description Logics, 1996)

MIMIC: Finding Optima by Estimating Probability Densities. - Jeremy S. De Bonet; Charles Lee Isbell Jr.; Paul A. Viola (NIPS, 1996)

Restructuring Sparse High Dimensional Data for Effective Retrieval. - Charles Lee Isbell Jr.; Paul A. Viola (NIPS, 1998)

The Parallel Problems Server: A Client-Server Model for Interactive Large Scale Scientific Computation. - Parry Husbands; Charles Lee Isbell Jr. (VECPAR, 1998)

A description logic-based configurator on the web. - Deborah L. McGuinness; Charles L. Isbell Jr.; Matt Parker; Peter F. Patel-Schneider; Lori Alperin Resnick; Christopher A. Welty (SIGART Bull., 1998)

Sparse multi-level representations for text retrieval. - Charles L. Isbell Jr. (1998)

The Parallel Problems Server: an Interactive Tool for Large Scale Machine Learning. - Charles Lee Isbell Jr.; Parry Husbands (NIPS, 1999)

MITMatlab: A Tool for Interactive Supercomputing. - Parry Husbands; Charles Lee Isbell Jr.; Alan Edelman (PP, 1999)

Cobot in LambdaMOO: A Social Statistics Agent. - Charles Lee Isbell Jr.; Michael J. Kearns; David P. Kormann; Satinder Singh 001; Peter Stone 001 (AAAI/IAAI, 2000)

A social reinforcement learning agent. - Charles Lee Isbell Jr.; Christian R. Shelton; Michael J. Kearns; Satinder Singh 001; Peter Stone 001 (Agents, 2001)

Cobot: A Social Reinforcement Learning Agent. - Charles Lee Isbell Jr.; Christian R. Shelton; Michael J. Kearns; Satinder Singh 001; Peter Stone 001 (NIPS, 2001)

CobotDS: A Spoken Dialogue System for Chat. - Michael J. Kearns; Charles Lee Isbell Jr.; Satinder Singh 001; Diane J. Litman; Jessica Howe (AAAI/IAAI, 2002)

Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch. - Lawrence K. Saul; Daniel D. Lee; Charles L. Isbell Jr.; Yann LeCun (NIPS, 2002)

User modeling for personalized universal appliance interaction. - Olufisayo Omojokun; Charles Lee Isbell Jr. (Richard Tapia Celebration of Diversity in Computing Conference, 2003)

AAAI-2002 Fall Symposium Series. - Yukio Ohsawa; Peter McBurney; Simon Parsons; Christopher A. Miller 001; Alan C. Schultz; Jean Scholtz; Michael Goodrich 002; Eugene Santos Jr.; Benjamin Bell; Charles Lee Isbell Jr.; Michael L. Littman (AI Mag., 2003)

Schema Learning: Experience-Based Construction of Predictive Action Models. - Michael P. Holmes; Charles Lee Isbell Jr. (NIPS, 2004)

From devices to tasks: automatic task prediction for personalized appliance control. - Charles L. Isbell Jr.; Olufisayo Omojokun; Jeffrey S. Pierce (Pers. Ubiquitous Comput., 2004)

Supporting routine decision-making with a next-generation alarm clock. - Brian M. Landry; Jeffrey S. Pierce; Charles L. Isbell Jr. (Pers. Ubiquitous Comput., 2004)

Detection and Explanation of Anomalous Activities: Representing Activities as Bags of Event n-Grams. - Raffay Hamid; Amos Y. Johnson; Samir Batta; Aaron F. Bobick; Charles L. Isbell Jr.; Graham Coleman (CVPR (1), 2005)

Unsupervised Activity Discovery and Characterization From Event-Streams. - Rafay Hammid; Siddhartha Maddi; Amos Y. Johnson; Aaron F. Bobick; Irfan A. Essa; Charles Lee Isbell Jr. (UAI, 2005)

On the Difficulty of Modular Reinforcement Learning for Real-World Partial Programming. - Sooraj Bhat; Charles Lee Isbell Jr.; Michael Mateas (AAAI, 2006)

Wavelet Statistics for Human Motion Classification. - Kevin Quennesson; Elias Ioup; Charles L. Isbell Jr. (AAAI, 2006)

Targeting Specific Distributions of Trajectories in MDPs. - David L. Roberts 001; Mark J. Nelson; Charles Lee Isbell Jr.; Michael Mateas; Michael L. Littman (AAAI, 2006)

Learning executable agent behaviors from observation. - Andrew Guillory; Hai Nguyen; Tucker R. Balch; Charles Lee Isbell Jr. (AAMAS, 2006)

Reinforcement learning for declarative optimization-based drama management. - Mark J. Nelson; David L. Roberts 001; Charles Lee Isbell Jr.; Michael Mateas (AAMAS, 2006)

A decision-theoretic approach to file consistency in constrained peer-to-peer device networks. - David L. Roberts 001; Sooraj Bhat; Charles Lee Isbell Jr.; Brian F. Cooper; Jeffrey S. Pierce (AAMAS, 2006)

Looping suffix tree-based inference of partially observable hidden state. - Michael P. Holmes; Charles Lee Isbell Jr. (ICML, 2006)

Discovering Characteristic Actions from On-Body Sensor Data. - David Minnen; Thad Starner; Irfan A. Essa; Charles Lee Isbell Jr. (ISWC, 2006)

Cobot in LambdaMOO: An Adaptive Social Statistics Agent. - Charles Lee Isbell Jr.; Michael J. Kearns; Satinder Singh 001; Christian R. Shelton; Peter Stone 001; David P. Kormann (Auton. Agents Multi Agent Syst., 2006)

Declarative Optimization-Based Drama Management in Interactive Fiction. - Mark J. Nelson; Michael Mateas; David L. Roberts 001; Charles Lee Isbell Jr. (IEEE Computer Graphics and Applications, 2006)

How Multirobot Systems Research will Accelerate our Understanding of Social Animal Behavior. - Tucker R. Balch; Frank Dellaert; Adam Feldman; Andrew Guillory; Charles Lee Isbell Jr.; Zia Khan; Stephen C. Pratt; Andrew N. Stein; Hank Wilde (Proc. IEEE, 2006)

Comparing end-user and intelligent remote control interface generation. - Olufisayo Omojokun; Jeffrey S. Pierce; Charles Lee Isbell Jr.; Prasun Dewan (Pers. Ubiquitous Comput., 2006)

Discovering Multivariate Motifs using Subsequence Density Estimation and Greedy Mixture Learning. - David Minnen; Charles Lee Isbell Jr.; Irfan A. Essa; Thad Starner (AAAI, 2007)

Authorial Idioms for Target Distributions in TTD-MDPs. - David L. Roberts 001; Sooraj Bhat; Kenneth St. Clair; Charles Lee Isbell Jr. (AAAI, 2007)

Using Feature Value Distributions to Estimate Player Satisfaction through an Author's Eyes. - David L. Roberts 001; Christina R. Strong; Charles L. Isbell Jr. (AAAI Fall Symposium: Intelligent Narrative Technologies, 2007)

Player Autonomy versus Designer Intent: A Case Study of Interactive Tour Guides. - David L. Roberts 001; Andrew S. Cantino; Charles Lee Isbell Jr. (AIIDE, 2007)

A globally optimal algorithm for TTD-MDPs. - Sooraj Bhat; David L. Roberts 001; Mark J. Nelson; Charles L. Isbell Jr.; Michael Mateas (AAMAS, 2007)

Autonomous nondeterministic tour guides: improving quality of experience with TTD-MDPs. - Andrew S. Cantino; David L. Roberts 001; Charles L. Isbell Jr. (AAMAS, 2007)

Detecting Subdimensional Motifs: An Efficient Algorithm for Generalized Multivariate Pattern Discovery. - David Minnen; Charles L. Isbell Jr.; Irfan A. Essa; Thad Starner (ICDM, 2007)

Improving Activity Discovery with Automatic Neighborhood Estimation. - David Minnen; Thad Starner; Irfan A. Essa; Charles Lee Isbell Jr. (IJCAI, 2007)

Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL. - Manu Sharma; Michael P. Holmes; Juan Carlos Santamaría; Arya Irani; Charles Lee Isbell Jr.; Ashwin Ram 001 (IJCAI, 2007)

Managing Domain Knowledge and Multiple Models with Boosting. - Peng Zang; Charles Lee Isbell Jr. (IJCAI, 2007)

Ultrafast Monte Carlo for Statistical Summations. - Michael P. Holmes; Alexander G. Gray; Charles Lee Isbell Jr. (NIPS, 2007)

ThreadsTM: how to restructure a computer science curriculum for a flat world. - Merrick L. Furst; Charles L. Isbell Jr.; Mark Guzdial (SIGCSE, 2007)

Fast Nonparametric Conditional Density Estimation. - Michael P. Holmes; Alexander G. Gray; Charles L. Isbell Jr. (UAI, 2007)

Dimensionality Reduction for Improved Source Separation in FMRI Data. - Rudolph L. Mappus IV; David Minnen; Charles Lee Isbell Jr. (BIOSIGNALS (2), 2008)

On the Use of Computational Models of Influence for Managing Interactive Virtual Experiences. - David L. Roberts 001; Charles Lee Isbell Jr.; Mark O. Riedl; Ian Bogost; Merrick L. Furst (ICIDS, 2008)

Impact of user context on song selection. - Olufisayo Omojokun; Michael Genovese; Charles Lee Isbell Jr. (ACM Multimedia, 2008)

Partial signal extraction for mobile media players. - Olufisayo Omojokun; Michael Genovese; Charles Lee Isbell Jr. (MoMM, 2008)

QUIC-SVD: Fast SVD Using Cosine Trees. - Michael P. Holmes; Alexander G. Gray; Charles Lee Isbell Jr. (NIPS, 2008)

Towards adaptive programming: integrating reinforcement learning into a programming language. - Christopher L. Simpkins; Sooraj Bhat; Charles Lee Isbell Jr.; Michael Mateas (OOPSLA, 2008)

Optimization problems involving collections of dependent objects. - David L. Roberts 001; Charles L. Isbell Jr.; Michael L. Littman (Ann. Oper. Res., 2008)

Learning to Influence Emotional Responses for Interactive Storytelling. - David L. Roberts 001; Harikrishna Narayanan; Charles L. Isbell Jr. (AAAI Spring Symposium: Intelligent Narrative Technologies II, 2009)

Beyond Adversarial: The Case for Game AI as Storytelling. - David L. Roberts 001; Mark O. Riedl; Charles L. Isbell Jr. (DiGRA Conference, 2009)

Discovering options from example trajectories. - Peng Zang; Peng Zhou; David Minnen; Charles Lee Isbell Jr. (ICML, 2009)

Solving Stochastic Games. - Liam Mac Dermed; Charles L. Isbell Jr. (NIPS, 2009)

Using influence and persuasion to shape player experiences. - David L. Roberts 001; Merrick L. Furst; Brian Dorn; Charles L. Isbell Jr. (Sandbox@SIGGRAPH, 2009)

A novel sequence representation for unsupervised analysis of human activities. - Raffay Hamid; Siddhartha Maddi; Amos Y. Johnson; Aaron F. Bobick; Irfan A. Essa; Charles Lee Isbell Jr. (Artif. Intell., 2009)

(Re)defining computing curricula by (re)defining computing. - Charles L. Isbell Jr.; Lynn Andrea Stein; Robb Cutler; Jeffrey Forbes 001; Linda Fraser; John Impagliazzo; Viera K. Proulx; Steve Russ; Richard Thomas 002; Yan Xu (ACM SIGCSE Bull., 2009)

Towards automatic personalization of device controls. - Olufisayo Omojokun; Charles L. Isbell Jr.; Prasun Dewan (IEEE Trans. Consumer Electron., 2009)

Using training regimens to teach expanding function approximators. - Peng Zang; Arya Irani; Peng Zhou; Charles Lee Isbell Jr.; Andrea Lockerd Thomaz (AAMAS, 2010)

Batch versus interactive learning by demonstration. - Peng Zang; Runhe Tian; Andrea Lockerd Thomaz; Charles L. Isbell Jr. (ICDL, 2010)

Reports of the AAAI 2010 Conference Workshops. - David W. Aha; Mark S. Boddy; Vadim Bulitko; Artur S. d'Avila Garcez; Prashant Doshi; Stefan Edelkamp; Christopher W. Geib; Piotr J. Gmytrasiewicz; Robert P. Goldman; Pascal Hitzler; Charles L. Isbell Jr.; Darsana P. Josyula; et al. (AI Mag., 2010)

Fast kernel conditional density estimation: A dual-tree Monte Carlo approach. - Michael P. Holmes; Alexander G. Gray; Charles Lee Isbell Jr. (Comput. Stat. Data Anal., 2010)

Markov Games of Incomplete Information for Multi-Agent Reinforcement Learning. - Liam MacDermed; Charles L. Isbell Jr.; Lora Weiss (Interactive Decision Theory and Game Theory, 2011)

Quick Polytope Approximation of All Correlated Equilibria in Stochastic Games. - Liam MacDermed; Karthik Sankaran Narayan; Charles Lee Isbell Jr.; Lora Weiss (AAAI, 2011)

DEXTOR: Reduced Effort Authoring for Template-Based Natural Language Generation. - Karthik Sankaran Narayan; Charles Lee Isbell Jr.; David L. Roberts 001 (AIIDE, 2011)

Automatic State Abstraction from Demonstration. - Luis C. Cobo; Peng Zang; Charles Lee Isbell Jr.; Andrea Lockerd Thomaz (IJCAI, 2011)

Computing Optimal Strategies to Commit to in Stochastic Games. - Joshua Letchford; Liam MacDermed; Vincent Conitzer; Ronald Parr; Charles L. Isbell Jr. (AAAI, 2012)

Automatic task decomposition and state abstraction from demonstration. - Luis C. Cobo; Charles Lee Isbell Jr.; Andrea Lockerd Thomaz (AAMAS, 2012)

Computing Stackelberg strategies in stochastic games. - Joshua Letchford; Liam MacDermed; Vincent Conitzer; Ronald Parr; Charles L. Isbell Jr. (SIGecom Exch., 2012)

Object focused q-learning for autonomous agents. - Luis C. Cobo; Charles L. Isbell Jr.; Andrea Lockerd Thomaz (AAMAS, 2013)

Tree-Independent Dual-Tree Algorithms. - Ryan R. Curtin; William B. March; Parikshit Ram; David V. Anderson; Alexander G. Gray; Charles L. Isbell Jr. (ICML (3), 2013)

Policy Shaping: Integrating Human Feedback with Reinforcement Learning. - Shane Griffith; Kaushik Subramanian; Jonathan Scholz; Charles L. Isbell Jr.; Andrea Lockerd Thomaz (NIPS, 2013)

Point Based Value Iteration with Optimal Belief Compression for Dec-POMDPs. - Liam MacDermed; Charles L. Isbell Jr. (NIPS, 2013)

Story similarity measures for drama management with ttd-mdps. - Joshua K. Jones; Charles L. Isbell Jr. (AAMAS, 2014)

A Physics-Based Model Prior for Object-Oriented MDPs. - Jonathan Scholz; Martin Levihn; Charles Lee Isbell Jr.; David Wingate (ICML, 2014)

Abstraction from demonstration for efficient reinforcement learning in high-dimensional domains. - Luis C. Cobo; Kaushik Subramanian; Charles Lee Isbell Jr.; Aaron D. Lanterman; Andrea Lockerd Thomaz (Artif. Intell., 2014)

Lessons on Using Computationally Generated Influence for Shaping Narrative Experiences. - David L. Roberts 001; Charles L. Isbell Jr. (IEEE Trans. Comput. Intell. AI Games, 2014)

Discovery, Evaluation, and Exploration of Human Supplied Options and Constraints. - Jesse Rosalia; Güliz Tokadli; Charles Lee Isbell Jr.; Karen M. Feigh (AAMAS, 2015)

Learning non-holonomic object models for mobile manipulation. - Jonathan Scholz; Martin Levihn; Charles L. Isbell Jr.; Henrik I. Christensen; Mike Stilman (ICRA, 2015)

Policy Shaping with Human Teachers. - Thomas Cederborg; Ishaan Grover; Charles L. Isbell Jr.; Andrea Lockerd Thomaz (IJCAI, 2015)

Who speaks for AI? - Eric Eaton; Tom Dietterich; Maria L. Gini; Barbara J. Grosz; Charles L. Isbell Jr.; Subbarao Kambhampati; Michael L. Littman; Francesca Rossi 001; Stuart Russell 001; Peter Stone 001; Toby Walsh; Michael J. Wooldridge (AI Matters, 2015)

Object-Focused Advice in Reinforcement Learning. - Samantha Krening; Brent Harrison; Karen M. Feigh; Charles L. Isbell Jr.; Andrea Thomaz (AAMAS, 2016)

Policy Shaping in Domains with Multiple Optimal Policies: (Extended Abstract). - Himanshu Sahni; Brent Harrison; Kaushik Subramanian; Thomas Cederborg; Charles L. Isbell Jr.; Andrea Thomaz (AAMAS, 2016)

Exploration from Demonstration for Interactive Reinforcement Learning. - Kaushik Subramanian; Charles Lee Isbell Jr.; Andrea Lockerd Thomaz (AAMAS, 2016)

Navigation Among Movable Obstacles with learned dynamic constraints. - Jonathan Scholz; Nehchal Jindal; Martin Levihn; Charles L. Isbell Jr.; Henrik I. Christensen (IROS, 2016)

The Unexpected Pedagogical Benefits of Making Higher Education Accessible. - David A. Joyner; Ashok K. Goel 001; Charles Lee Isbell Jr. (L@S, 2016)

Peer Reviewing Short Answers using Comparative Judgement. - Pushkar Kolhe; Michael L. Littman; Charles L. Isbell Jr. (L@S, 2016)

Perceptual Reward Functions. - Ashley D. Edwards; Charles Lee Isbell Jr.; Atsuo Takanishi (CoRR, 2016)

MotifMark: Finding regulatory motifs in DNA sequences. - Hamid Reza Hassanzadeh; Pushkar Kolhe; Charles L. Isbell Jr.; May D. Wang (EMBC, 2017)

State Aware Imitation Learning. - Yannick Schroecker; Charles L. Isbell Jr. (NIPS, 2017)

Ask Me Anything about MOOCs. - Doug Fisher; Charles Lee Isbell Jr.; Michael L. Littman; Michael Wollowski; Todd W. Neller; Jim Boerkoel (AI Mag., 2017)

Cross-Domain Perceptual Reward Functions. - Ashley D. Edwards; Charles Lee Isbell Jr. (CoRR, 2017)

Environment-Independent Task Specifications via GLTL. - Michael L. Littman; Ufuk Topcu; Jie Fu 002; Charles Lee Isbell Jr.; Min Wen; James MacGlashan (CoRR, 2017)

State Space Decomposition and Subgoal Creation for Transfer in Deep Reinforcement Learning. - Himanshu Sahni; Saurabh Kumar; Farhan Tejani; Yannick Schroecker; Charles Lee Isbell Jr. (CoRR, 2017)

Transferring Agent Behaviors from Videos via Motion GANs. - Ashley D. Edwards; Charles Lee Isbell Jr. (CoRR, 2017)

Learning to Compose Skills. - Himanshu Sahni; Saurabh Kumar; Farhan Tejani; Charles L. Isbell Jr. (CoRR, 2017)

Learning From Explanations Using Sentiment and Advice in RL. - Samantha Krening; Brent Harrison; Karen M. Feigh; Charles Lee Isbell Jr.; Mark O. Riedl; Andrea Thomaz (IEEE Trans. Cogn. Dev. Syst., 2017)

Rising CS Enrollments: Meeting the Challenges. - Eric Roberts 001; Tracy Camp; David E. Culler; Charles L. Isbell Jr.; Jodi L. Tims (SIGCSE, 2018)

Purely Geometric Scene Association and Retrieval - A Case for Macro Scale 3D Geometry. - Rahul Sawhney; Fuxin Li; Henrik I. Christensen; Charles L. Isbell Jr. (CoRR, 2018)

Composable Modular Reinforcement Learning. - Christopher L. Simpkins; Charles L. Isbell Jr. (AAAI, 2019)

Five Years of Graduate CS Education Online and at Scale. - David A. Joyner; Charles L. Isbell Jr.; Thad Starner; Ashok K. Goel 001 (CompEd, 2019)

Imitating Latent Policies from Observation. - Ashley D. Edwards; Himanshu Sahni; Yannick Schroecker; Charles L. Isbell Jr. (ICML, 2019)

Master's at Scale: Five Years in a Scalable Online Graduate Degree. - David A. Joyner; Charles L. Isbell Jr. (L@S, 2019)

Perceptual Values from Observation. - Ashley D. Edwards; Charles L. Isbell Jr. (CoRR, 2019)

Estimating Q(s,s') with Deep Deterministic Dynamics Gradients. - Ashley D. Edwards; Himanshu Sahni; Rosanne Liu; Jane Hung; Ankit Jain; Rui Wang 052; Adrien Ecoffet; Thomas Miconi; Charles Isbell; Jason Yosinski (ICML, 2020)

Supportive Actions for Manipulation in Human-Robot Coworker Teams. - Shray Bansal; Rhys Newbury; Wesley P. Chan; Akansel Cosgun; Aimee Allen; Dana Kulic; Tom Drummond; Charles Isbell (IROS, 2020)

A Bayesian Framework for Nash Equilibrium Inference in Human-Robot Parallel Play. - Shray Bansal; Jin Xu 012; Ayanna M. Howard; Charles Isbell (Robotics: Science and Systems, 2020)

Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning. - Yannick Schroecker; Charles L. Isbell Jr. (CoRR, 2020)

Hard Attention Control By Mutual Information Maximization. - Himanshu Sahni; Charles Isbell (CoRR, 2021)

Bayes-Nash: Bayesian inference for Nash equilibrium selection in human-robot parallel play. - Shray Bansal; Jin Xu 012; Ayanna M. Howard; Charles Isbell (Auton. Robots, 2022)

Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report. - Michael L. Littman; Ifeoma Ajunwa; Guy Berger; Craig Boutilier; Morgan Currie; Finale Doshi-Velez; Gillian K. Hadfield; Michael C. Horowitz; Charles Isbell; Hiroaki Kitano; Karen Levy; Terah Lyons; et al. (CoRR, 2022)

Software Engineering of Machine Learning Systems. - Charles Isbell; Michael L. Littman; Peter Norvig (Commun. ACM, 2023)