Charles L. Isbell Jr.

Affiliations:
  • Georgia Institute of Technology, College of Computing, Atlanta, GA, USA


According to our database1, Charles L. Isbell Jr. authored at least 115 papers between 1995 and 2023.

Collaborative distances:

Awards

ACM Fellow

ACM Fellow 2018, "For contributions to interactive machine learning; and for contributions to increasing access and diversity in computing".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
Software Engineering of Machine Learning Systems.
Commun. ACM, February, 2023

2022
Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report.
CoRR, 2022

Bayes-Nash: Bayesian inference for Nash equilibrium selection in human-robot parallel play.
Auton. Robots, 2022

2021
Hard Attention Control By Mutual Information Maximization.
CoRR, 2021

2020
Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning.
CoRR, 2020

A Bayesian Framework for Nash Equilibrium Inference in Human-Robot Parallel Play.
Proceedings of the Robotics: Science and Systems XVI, 2020

Supportive Actions for Manipulation in Human-Robot Coworker Teams.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Estimating Q(s,s') with Deep Deterministic Dynamics Gradients.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Perceptual Values from Observation.
CoRR, 2019

Master's at Scale: Five Years in a Scalable Online Graduate Degree.
Proceedings of the Sixth ACM Conference on Learning @ Scale, 2019

Imitating Latent Policies from Observation.
Proceedings of the 36th International Conference on Machine Learning, 2019

Five Years of Graduate CS Education Online and at Scale.
Proceedings of the ACM Conference on Global Computing Education, 2019

Composable Modular Reinforcement Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Purely Geometric Scene Association and Retrieval - A Case for Macro Scale 3D Geometry.
CoRR, 2018

Rising CS Enrollments: Meeting the Challenges.
Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018

2017
Learning From Explanations Using Sentiment and Advice in RL.
IEEE Trans. Cogn. Dev. Syst., 2017

Learning to Compose Skills.
CoRR, 2017

Transferring Agent Behaviors from Videos via Motion GANs.
CoRR, 2017

State Space Decomposition and Subgoal Creation for Transfer in Deep Reinforcement Learning.
CoRR, 2017

Environment-Independent Task Specifications via GLTL.
CoRR, 2017

Cross-Domain Perceptual Reward Functions.
CoRR, 2017

Ask Me Anything about MOOCs.
AI Mag., 2017

State Aware Imitation Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

MotifMark: Finding regulatory motifs in DNA sequences.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Perceptual Reward Functions.
CoRR, 2016

Peer Reviewing Short Answers using Comparative Judgement.
Proceedings of the Third ACM Conference on Learning @ Scale, 2016

The Unexpected Pedagogical Benefits of Making Higher Education Accessible.
Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Navigation Among Movable Obstacles with learned dynamic constraints.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Exploration from Demonstration for Interactive Reinforcement Learning.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Policy Shaping in Domains with Multiple Optimal Policies: (Extended Abstract).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Object-Focused Advice in Reinforcement Learning.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015
Who speaks for AI?
AI Matters, 2015

Policy Shaping with Human Teachers.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Learning non-holonomic object models for mobile manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Discovery, Evaluation, and Exploration of Human Supplied Options and Constraints.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014
Lessons on Using Computationally Generated Influence for Shaping Narrative Experiences.
IEEE Trans. Comput. Intell. AI Games, 2014

Abstraction from demonstration for efficient reinforcement learning in high-dimensional domains.
Artif. Intell., 2014

A Physics-Based Model Prior for Object-Oriented MDPs.
Proceedings of the 31th International Conference on Machine Learning, 2014

Story similarity measures for drama management with ttd-mdps.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013
Point Based Value Iteration with Optimal Belief Compression for Dec-POMDPs.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Policy Shaping: Integrating Human Feedback with Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Tree-Independent Dual-Tree Algorithms.
Proceedings of the 30th International Conference on Machine Learning, 2013

Object focused q-learning for autonomous agents.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012
Computing Stackelberg strategies in stochastic games.
SIGecom Exch., 2012

Automatic task decomposition and state abstraction from demonstration.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Computing Optimal Strategies to Commit to in Stochastic Games.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Automatic State Abstraction from Demonstration.
Proceedings of the IJCAI 2011, 2011

DEXTOR: Reduced Effort Authoring for Template-Based Natural Language Generation.
Proceedings of the Seventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2011

Quick Polytope Approximation of All Correlated Equilibria in Stochastic Games.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Markov Games of Incomplete Information for Multi-Agent Reinforcement Learning.
Proceedings of the Interactive Decision Theory and Game Theory, 2011

2010
Fast kernel conditional density estimation: A dual-tree Monte Carlo approach.
Comput. Stat. Data Anal., 2010

Reports of the AAAI 2010 Conference Workshops.
AI Mag., 2010

Batch versus interactive learning by demonstration.
Proceedings of the 2010 IEEE 9th International Conference on Development and Learning, 2010

Using training regimens to teach expanding function approximators.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

2009
Towards automatic personalization of device controls.
IEEE Trans. Consumer Electron., 2009

(Re)defining computing curricula by (re)defining computing.
ACM SIGCSE Bull., 2009

A novel sequence representation for unsupervised analysis of human activities.
Artif. Intell., 2009

Using influence and persuasion to shape player experiences.
Proceedings of the 2009 ACM SIGGRAPH Symposium on Video Games, 2009

Solving Stochastic Games.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Discovering options from example trajectories.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Beyond Adversarial: The Case for Game AI as Storytelling.
Proceedings of the 2009 DiGRA International Conference: Breaking New Ground: Innovation in Games, 2009

Learning to Influence Emotional Responses for Interactive Storytelling.
Proceedings of the Intelligent Narrative Technologies II, 2009

2008
Optimization problems involving collections of dependent objects.
Ann. Oper. Res., 2008

Towards adaptive programming: integrating reinforcement learning into a programming language.
Proceedings of the 23rd Annual ACM SIGPLAN Conference on Object-Oriented Programming, 2008

QUIC-SVD: Fast SVD Using Cosine Trees.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Partial signal extraction for mobile media players.
Proceedings of the MoMM'2008 - The 6th International Conference on Advances in Mobile Computing and Multimedia, 24, 2008

Impact of user context on song selection.
Proceedings of the 16th International Conference on Multimedia 2008, 2008

On the Use of Computational Models of Influence for Managing Interactive Virtual Experiences.
Proceedings of the Interactive Storytelling, 2008

Dimensionality Reduction for Improved Source Separation in FMRI Data.
Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008

2007
Fast Nonparametric Conditional Density Estimation.
Proceedings of the UAI 2007, 2007

Threads<sup>TM</sup>: how to restructure a computer science curriculum for a flat world.
Proceedings of the 38th SIGCSE Technical Symposium on Computer Science Education, 2007

Ultrafast Monte Carlo for Statistical Summations.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Managing Domain Knowledge and Multiple Models with Boosting.
Proceedings of the IJCAI 2007, 2007

Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL.
Proceedings of the IJCAI 2007, 2007

Improving Activity Discovery with Automatic Neighborhood Estimation.
Proceedings of the IJCAI 2007, 2007

Detecting Subdimensional Motifs: An Efficient Algorithm for Generalized Multivariate Pattern Discovery.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Autonomous nondeterministic tour guides: improving quality of experience with TTD-MDPs.
Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007

A globally optimal algorithm for TTD-MDPs.
Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007

Player Autonomy versus Designer Intent: A Case Study of Interactive Tour Guides.
Proceedings of the Third Artificial Intelligence and Interactive Digital Entertainment Conference, 2007

Using Feature Value Distributions to Estimate Player Satisfaction through an Author's Eyes.
Proceedings of the Intelligent Narrative Technologies, 2007

Authorial Idioms for Target Distributions in TTD-MDPs.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Discovering Multivariate Motifs using Subsequence Density Estimation and Greedy Mixture Learning.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Comparing end-user and intelligent remote control interface generation.
Pers. Ubiquitous Comput., 2006

How Multirobot Systems Research will Accelerate our Understanding of Social Animal Behavior.
Proc. IEEE, 2006

Declarative Optimization-Based Drama Management in Interactive Fiction.
IEEE Computer Graphics and Applications, 2006

Cobot in LambdaMOO: An Adaptive Social Statistics Agent.
Auton. Agents Multi Agent Syst., 2006

Discovering Characteristic Actions from On-Body Sensor Data.
Proceedings of the Tenth IEEE International Symposium on Wearable Computers (ISWC 2006), 2006

Looping suffix tree-based inference of partially observable hidden state.
Proceedings of the Machine Learning, 2006

A decision-theoretic approach to file consistency in constrained peer-to-peer device networks.
Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

Reinforcement learning for declarative optimization-based drama management.
Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

Learning executable agent behaviors from observation.
Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

Targeting Specific Distributions of Trajectories in MDPs.
Proceedings of the Proceedings, 2006

Wavelet Statistics for Human Motion Classification.
Proceedings of the Proceedings, 2006

On the Difficulty of Modular Reinforcement Learning for Real-World Partial Programming.
Proceedings of the Proceedings, 2006

2005
Unsupervised Activity Discovery and Characterization From Event-Streams.
Proceedings of the UAI '05, 2005

Detection and Explanation of Anomalous Activities: Representing Activities as Bags of Event n-Grams.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Supporting routine decision-making with a next-generation alarm clock.
Pers. Ubiquitous Comput., 2004

From devices to tasks: automatic task prediction for personalized appliance control.
Pers. Ubiquitous Comput., 2004

Schema Learning: Experience-Based Construction of Predictive Action Models.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003
AAAI-2002 Fall Symposium Series.
AI Mag., 2003

User modeling for personalized universal appliance interaction.
Proceedings of the Richard Tapia Celebration of Diversity in Computing Conference 2003, 2003

2002
Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

CobotDS: A Spoken Dialogue System for Chat.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001
Cobot: A Social Reinforcement Learning Agent.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

A social reinforcement learning agent.
Proceedings of the Fifth International Conference on Autonomous Agents, 2001

2000
Cobot in LambdaMOO: A Social Statistics Agent.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999
MITMatlab: A Tool for Interactive Supercomputing.
Proceedings of the Ninth SIAM Conference on Parallel Processing for Scientific Computing, 1999

The Parallel Problems Server: an Interactive Tool for Large Scale Machine Learning.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998
Sparse multi-level representations for text retrieval.
PhD thesis, 1998

A description logic-based configurator on the web.
SIGART Bull., 1998

The Parallel Problems Server: A Client-Server Model for Interactive Large Scale Scientific Computation.
Proceedings of the Vector and Parallel Processing, 1998

Restructuring Sparse High Dimensional Data for Effective Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1996
MIMIC: Finding Optima by Estimating Probability Densities.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Reasoning with Black Boxes: Handling Test Concepts in CLASSIC.
Proceedings of the 1996 International Workshop on Description Logics, 1996

1995
Description Logic in Practice: A CLASSIC Application.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995


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