Charles Lee Isbell Jr.

61 papers A* 14A 9B 1C 2Misc 2Journal 18Unranked 15

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