Charles Lee Isbell Jr.

Publication Activity (10 Years)

Years Active: 1995-2017
Publications (10 Years): 10

Top Topics

Reinforcement Learning

Active Exploration

Conditional Density Estimation

Top Venues

IEEE Trans. Cogn. Dev. Syst.

Publications

Ashley D. Edwards, Charles Lee Isbell Jr.
Cross-Domain Perceptual Reward Functions. CoRR (2017)
Samantha Krening, Brent Harrison, Karen M. Feigh, Charles Lee Isbell Jr., Mark Riedl, Andrea Thomaz
Learning From Explanations Using Sentiment and Advice in RL. IEEE Trans. Cogn. Dev. Syst. 9 (1) (2017)
Michael L. Littman, Ufuk Topcu, Jie Fu, Charles Lee Isbell Jr., Min Wen, James MacGlashan
Environment-Independent Task Specifications via GLTL. CoRR (2017)
Ashley D. Edwards, Charles Lee Isbell Jr.
Transferring Agent Behaviors from Videos via Motion GANs. CoRR (2017)
Doug Fisher, Charles Lee Isbell Jr., Michael L. Littman, Michael Wollowski, Todd W. Neller, Jim Boerkoel
Ask Me Anything about MOOCs. AI Mag. 38 (2) (2017)
Himanshu Sahni, Saurabh Kumar, Farhan Tejani, Yannick Schroecker, Charles Lee Isbell Jr.
State Space Decomposition and Subgoal Creation for Transfer in Deep Reinforcement Learning. CoRR (2017)
Ashley D. Edwards, Charles Lee Isbell Jr., Atsuo Takanishi
Perceptual Reward Functions. CoRR (2016)
David A. Joyner, Ashok K. Goel, Charles Lee Isbell Jr.
The Unexpected Pedagogical Benefits of Making Higher Education Accessible. L@S (2016)
Kaushik Subramanian, Charles Lee Isbell Jr., Andrea Lockerd Thomaz
Exploration from Demonstration for Interactive Reinforcement Learning. AAMAS (2016)
Jesse Rosalia, Güliz Tokadli, Charles Lee Isbell Jr., Karen M. Feigh
Discovery, Evaluation, and Exploration of Human Supplied Options and Constraints. AAMAS (2015)
Luis C. Cobo, Kaushik Subramanian, Charles Lee Isbell Jr., Aaron D. Lanterman, Andrea Lockerd Thomaz
Abstraction from demonstration for efficient reinforcement learning in high-dimensional domains. Artif. Intell. 216 (2014)
Jonathan Scholz, Martin Levihn, Charles Lee Isbell Jr., David Wingate
A Physics-Based Model Prior for Object-Oriented MDPs. ICML (2014)
Ryan R. Curtin, William B. March, Parikshit Ram, David V. Anderson, Alexander G. Gray, Charles Lee Isbell Jr.
Tree-Independent Dual-Tree Algorithms CoRR (2013)
Rafay Hammid, Siddhartha Maddi, Amos Y. Johnson, Aaron F. Bobick, Irfan A. Essa, Charles Lee Isbell Jr.
Unsupervised Activity Discovery and Characterization From Event-Streams CoRR (2012)
Luis C. Cobo, Charles Lee Isbell Jr., Andrea Lockerd Thomaz
Automatic task decomposition and state abstraction from demonstration. AAMAS (2012)
Michael P. Holmes, Alexander G. Gray, Charles Lee Isbell Jr.
Fast Nonparametric Conditional Density Estimation CoRR (2012)
Karthik Sankaran Narayan, Charles Lee Isbell Jr., David L. Roberts
DEXTOR: Reduced Effort Authoring for Template-Based Natural Language Generation. AIIDE (2011)
Luis C. Cobo, Peng Zang, Charles Lee Isbell Jr., Andrea Lockerd Thomaz
Automatic State Abstraction from Demonstration. IJCAI (2011)
Liam MacDermed, Karthik Sankaran Narayan, Charles Lee Isbell Jr., Lora Weiss
Quick Polytope Approximation of All Correlated Equilibria in Stochastic Games. AAAI (2011)
Peng Zang, Arya Irani, Peng Zhou, Charles Lee Isbell Jr., Andrea Lockerd Thomaz
Using training regimens to teach expanding function approximators. AAMAS (2010)
Michael P. Holmes, Alexander G. Gray, Charles Lee Isbell Jr.
Fast kernel conditional density estimation: A dual-tree Monte Carlo approach. Comput. Stat. Data Anal. 54 (7) (2010)
Peng Zang, Peng Zhou, David Minnen, Charles Lee Isbell Jr.
Discovering options from example trajectories. ICML (2009)
Raffay Hamid, Siddhartha Maddi, Amos Y. Johnson, Aaron F. Bobick, Irfan A. Essa, Charles Lee Isbell Jr.
A novel sequence representation for unsupervised analysis of human activities. Artif. Intell. 173 (14) (2009)
David L. Roberts, Charles Lee Isbell Jr., Mark O. Riedl, Ian Bogost, Merrick L. Furst
On the Use of Computational Models of Influence for Managing Interactive Virtual Experiences. ICIDS (2008)
Michael P. Holmes, Alexander G. Gray, Charles Lee Isbell Jr.
QUIC-SVD: Fast SVD Using Cosine Trees. NIPS (2008)
Christopher L. Simpkins, Sooraj Bhat, Charles Lee Isbell Jr., Michael Mateas
Towards adaptive programming: integrating reinforcement learning into a programming language. OOPSLA (2008)
Olufisayo Omojokun, Michael Genovese, Charles Lee Isbell Jr.
Impact of user context on song selection. ACM Multimedia (2008)
Rudolph L. Mappus IV, David Minnen, Charles Lee Isbell Jr.
Dimensionality Reduction for Improved Source Separation in FMRI Data. BIOSIGNALS (2) (2008)
Olufisayo Omojokun, Michael Genovese, Charles Lee Isbell Jr.
Partial signal extraction for mobile media players. MoMM (2008)
David L. Roberts, Andrew S. Cantino, Charles Lee Isbell Jr.
Player Autonomy versus Designer Intent: A Case Study of Interactive Tour Guides. AIIDE (2007)
David Minnen, Thad Starner, Irfan A. Essa, Charles Lee Isbell Jr.
Improving Activity Discovery with Automatic Neighborhood Estimation. IJCAI (2007)
David Minnen, Charles Lee Isbell Jr., Irfan A. Essa, Thad Starner
Discovering Multivariate Motifs using Subsequence Density Estimation and Greedy Mixture Learning. AAAI (2007)
Michael P. Holmes, Alexander G. Gray, Charles Lee Isbell Jr.
Ultrafast Monte Carlo for Statistical Summations. NIPS (2007)
Peng Zang, Charles Lee Isbell Jr.
Managing Domain Knowledge and Multiple Models with Boosting. IJCAI (2007)
Manu Sharma, Michael P. Holmes, Juan Carlos Santamaría, Arya Irani, Charles Lee Isbell Jr., Ashwin Ram
Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL. IJCAI (2007)
David L. Roberts, Sooraj Bhat, Kenneth St. Clair, Charles Lee Isbell Jr.
Authorial Idioms for Target Distributions in TTD-MDPs. AAAI (2007)
Andrew Guillory, Hai Nguyen, Tucker R. Balch, Charles Lee Isbell Jr.
Learning executable agent behaviors from observation. AAMAS (2006)
Michael P. Holmes, Charles Lee Isbell Jr.
Looping suffix tree-based inference of partially observable hidden state. ICML (2006)
Olufisayo Omojokun, Jeffrey S. Pierce, Charles Lee Isbell Jr., Prasun Dewan
Comparing end-user and intelligent remote control interface generation. Pers. Ubiquitous Comput. 10 (2-3) (2006)
David L. Roberts, Sooraj Bhat, Charles Lee Isbell Jr., Brian F. Cooper, Jeffrey S. Pierce
A decision-theoretic approach to file consistency in constrained peer-to-peer device networks. AAMAS (2006)
David L. Roberts, Mark J. Nelson, Charles Lee Isbell Jr., Michael Mateas, Michael L. Littman
Targeting Specific Distributions of Trajectories in MDPs. AAAI (2006)
Tucker R. Balch, Frank Dellaert, Adam Feldman, Andrew Guillory, Charles Lee Isbell Jr., Zia Khan, Stephen C. Pratt, Andrew N. Stein, Hank Wilde
How Multirobot Systems Research will Accelerate our Understanding of Social Animal Behavior. Proc. IEEE 94 (7) (2006)
Mark J. Nelson, David L. Roberts, Charles Lee Isbell Jr., Michael Mateas
Reinforcement learning for declarative optimization-based drama management. AAMAS (2006)
Mark J. Nelson, Michael Mateas, David L. Roberts, Charles Lee Isbell Jr.
Declarative Optimization-Based Drama Management in Interactive Fiction. IEEE Computer Graphics and Applications 26 (3) (2006)
Charles Lee Isbell Jr., Michael J. Kearns, Satinder P. Singh, Christian R. Shelton, Peter Stone, David P. Kormann
Cobot in LambdaMOO: An Adaptive Social Statistics Agent. Auton. Agents Multi Agent Syst. 13 (3) (2006)
David Minnen, Thad Starner, Irfan A. Essa, Charles Lee Isbell Jr.
Discovering Characteristic Actions from On-Body Sensor Data. ISWC (2006)
Sooraj Bhat, Charles Lee Isbell Jr., Michael Mateas
On the Difficulty of Modular Reinforcement Learning for Real-World Partial Programming. AAAI (2006)
Rafay Hammid, Siddhartha Maddi, Amos Y. Johnson, Aaron F. Bobick, Irfan A. Essa, Charles Lee Isbell Jr.
Unsupervised Activity Discovery and Characterization From Event-Streams. UAI (2005)
Michael P. Holmes, Charles Lee Isbell Jr.
Schema Learning: Experience-Based Construction of Predictive Action Models. NIPS (2004)
Olufisayo Omojokun, Charles Lee Isbell Jr.
User modeling for personalized universal appliance interaction. Richard Tapia Celebration of Diversity in Computing Conference (2003)
Yukio Ohsawa, Peter McBurney, Simon Parsons, Christopher A. Miller, Alan C. Schultz, Jean Scholtz, Michael A. Goodrich, Eugene Santos Jr., Benjamin Bell, Charles Lee Isbell Jr., Michael L. Littman
AAAI-2002 Fall Symposium Series. AI Mag. 24 (1) (2003)
Michael J. Kearns, Charles Lee Isbell Jr., Satinder P. Singh, Diane J. Litman, Jessica Howe
CobotDS: A Spoken Dialogue System for Chat. AAAI/IAAI (2002)
Charles Lee Isbell Jr., Christian R. Shelton, Michael J. Kearns, Satinder P. Singh, Peter Stone
Cobot: A Social Reinforcement Learning Agent. NIPS (2001)
Charles Lee Isbell Jr., Christian R. Shelton, Michael J. Kearns, Satinder P. Singh, Peter Stone
A social reinforcement learning agent. Agents (2001)
Charles Lee Isbell Jr., Michael J. Kearns, David P. Kormann, Satinder P. Singh, Peter Stone
Cobot in LambdaMOO: A Social Statistics Agent. AAAI/IAAI (2000)
Parry Husbands, Charles Lee Isbell Jr., Alan Edelman
MITMatlab: A Tool for Interactive Supercomputing. PPSC (1999)
Charles Lee Isbell Jr., Parry Husbands
The Parallel Problems Server: an Interactive Tool for Large Scale Machine Learning. NIPS (1999)
Charles Lee Isbell Jr., Paul A. Viola
Restructuring Sparse High Dimensional Data for Effective Retrieval. NIPS (1998)
Parry Husbands, Charles Lee Isbell Jr.
The Parallel Problems Server: A Client-Server Model for Interactive Large Scale Scientific Computation. VECPAR (1998)
Jeremy S. De Bonet, Charles Lee Isbell Jr., Paul A. Viola
MIMIC: Finding Optima by Estimating Probability Densities. NIPS (1996)
Deborah L. McGuinness, Lori Alperin Resnick, Charles Lee Isbell Jr.
Description Logic in Practice: A CLASSIC Application. IJCAI (1995)