Charles Lee Isbell, Jr.'s AcademicInfluence.com Rankings Charles Lee Isbell, Jr.'s Degrees Similar Degrees You Can Earn Why Is Charles Lee Isbell, Jr. Influential? (Suggest an Edit or Addition)
According to Wikipedia , Charles Lee Isbell Jr. is an American computationalist, researcher, and educator. He is Provost and Vice Chancellor for Academic Affairs at the University of Wisconsin–Madison. Before joining the faculty there, he was a professor at the Georgia Institute of Technology College of Computing starting in 2002, and served as John P. Imlay, Jr. Dean of the College from July 2019 to July 2023. His research interests focus on machine learning and artificial intelligence, particularly interactive and human-centered AI. He has published over 100 scientific papers. In addition to his research work, Isbell has been an advocate for increasing access to and diversity in higher education.
(See a Problem?) Charles Lee Isbell, Jr.'s Published Works
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Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
2000 2010 2020 0 50 100 150 200 250 300 350 400 450 500 550 600 650 700 Published Works MIMIC: Finding Optima by Estimating Probability Densities (1996) (571)Policy Shaping: Integrating Human Feedback with Reinforcement Learning (2013) (311)Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL (2007) (159)Detection and explanation of anomalous activities: representing activities as bags of event n-grams (2005) A social reinforcement learning agent (2001) Discovering Characteristic Actions from On-Body Sensor Data (2006) A novel sequence representation for unsupervised analysis of human activities (2009) Discovering Multivariate Motifs using Subsequence Density Estimation and Greedy Mixture Learning (2007) (104)Environment-Independent Task Specifications via GLTL (2017) (101)Imitating Latent Policies from Observation (2018) (96)Detecting Subdimensional Motifs: An Efficient Algorithm for Generalized Multivariate Pattern Discovery (2007) A Survey and Qualitative Analysis of Recent Advances in Drama Management (2008) (78)Cobot in LambdaMOO: A Social Statistics Agent (2000) (76)Restructuring Sparse High Dimensional Data for Effective Retrieval (1998) (76)Exploration from Demonstration for Interactive Reinforcement Learning (2016) (75)Policy Shaping with Human Teachers (2015) (72)Declarative optimization-based drama management in interactive fiction (2006) Reinforcement learning for declarative optimization-based drama management (2006) Learning From Explanations Using Sentiment and Advice in RL (2017) Fast Nonparametric Conditional Density Estimation (2007) Improving Activity Discovery with Automatic Neighborhood Estimation (2007) (66)How Multirobot Systems Research will Accelerate our Understanding of Social Animal Behavior (2006) Cobot in LambdaMOO: An Adaptive Social Statistics Agent (2006) A Physics-Based Model Prior for Object-Oriented MDPs (2014) (59)Targeting Specific Distributions of Trajectories in MDPs (2006) (58)QUIC-SVD: Fast SVD Using Cosine Trees (2008) (54)Schema Learning: Experience-Based Construction of Predictive Action Models (2004) (51)Looping suffix tree-based inference of partially observable hidden state (2006) Computing Optimal Strategies to Commit to in Stochastic Games (2012) Automatic State Abstraction from Demonstration (2011) Point Based Value Iteration with Optimal Belief Compression for Dec-POMDPs (2013) (38)Description Logic in Practice: A CLASSIC Application (1995) (36)Threads™: how to restructure a computer science curriculum for a flat world (2007) Cobot: A Social Reinforcement Learning Agent (2001) (36)(Re)defining computing curricula by (re)defining computing (2010) Towards adaptive programming: integrating reinforcement learning into a programming language (2008) Ishmail: Immediate Identification of Important Information (1995) (34)Learning to Compose Skills (2017) (32)Unsupervised Activity Discovery and Characterization From Event-Streams (2005) (31)From devices to tasks: automatic task prediction for personalized appliance control (2004) Solving Stochastic Games (2009) (29)Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch (2002) (29)Object focused q-learning for autonomous agents (2013) Fast kernel conditional density estimation: A dual-tree Monte Carlo approach (2010) Learning to Influence Emotional Responses for Interactive Storytelling (2009) (26)Discovering options from example trajectories (2009) Tree-Independent Dual-Tree Algorithms (2013) (26)State Aware Imitation Learning (2017) (25)Automatic task decomposition and state abstraction from demonstration (2012) (25)An IP Continuum for Adaptive Interface Design (1996) (25)On the Difficulty of Modular Reinforcement Learning for Real-World Partial Programming (2006) (23)A globally optimal algorithm for TTD-MDPs (2007) Authorial Idioms for Target Distributions in TTD-MDPs (2007) (23)Comparing end-user and intelligent remote control interface generation (2006) The Unexpected Pedagogical Benefits of Making Higher Education Accessible (2016) Abstraction from demonstration for efficient reinforcement learning in high-dimensional domains (2014) Desiderata for Managers of Interactive Experiences : A Survey of Recent Advances in Drama Management (2007) (20)Learning Options through Human Interaction (2011) (18)Quick Polytope Approximation of All Correlated Equilibria in Stochastic Games (2011) The Parallel Problems Server: A Client-Server Model for Interactive Large Scale Scientific Computation (1998) Autonomous nondeterministic tour guides: improving quality of experience with TTD-MDPs (2007) Markov Games of Incomplete Information for Multi-Agent Reinforcement Learning (2011) (17)Using influence and persuasion to shape player experiences (2009) Perceptual Reward Functions (2016) (15)Supporting routine decision-making with a next-generation alarm clock (2004) Beyond Adversarial: The Case for Game AI as Storytelling (2009) (14)Declarative Optimization-Based Drama Management ( DODM ) in the Interactive Fiction Anchorhead (2006) (14)Composable Modular Reinforcement Learning (2019) Batch versus interactive learning by demonstration (2010) Master's at Scale: Five Years in a Scalable Online Graduate Degree (2019) How A . I . and multi-robot systems research will accelerate our understanding of social animal behavior (2005) (12)Player Autonomy versus Designer Intent: A Case Study of Interactive Tour Guides (2007) Estimating Q(s, s') with Deep Deterministic Dynamics Gradients (2020) (12)Navigation Among Movable Obstacles with learned dynamic constraints (2016) Using training regimens to teach expanding function approximators (2010) Rising CS Enrollments: Meeting the Challenges (2018) Five Years of Graduate CS Education Online and at Scale (2019) Estimating Player Satisfaction Through the Author ’ s Eyes (2007) (11)Ultrafast Monte Carlo for kernel estimators and generalized statistical summations (2007) (11)Learning non-holonomic object models for mobile manipulation (2015) Reasoning with Black Boxes: Handling Test Concepts in CLASSIC (1996) (10)CobotDS: a spoken dialogue system for chat (2002) (9)Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning (2020) (9)Perceptual Values from Observation (2019) (9)Lessons on Using Computationally Generated Influence for Shaping Narrative Experiences (2014) Using Feature Value Distributions to Estimate Player Satisfaction through an Author's Eyes (2007) (8)Learning executable agent behaviors from observation (2006) DEXTOR: Reduced Effort Authoring for Template-Based Natural Language Generation (2011) Peer Reviewing Short Answers using Comparative Judgement (2016) Cross-Domain Perceptual Reward Functions (2017) (7)Policy Shaping in Domains with Multiple Optimal Policies: (Extended Abstract) (2016) (7)Ultrafast Monte Carlo for Statistical Summations (2007) (6)A description logic-based configurator on the web (1998) Interactive Supercomputing with PPMatlab (1998) (6)Computing Stackelberg strategies in stochastic games (2012) Interactive Supercomputing with MITMatlab (1998) (5)Supportive Actions for Manipulation in Human-Robot Coworker Teams (2020) Deriving Behavior from Personality : A Reinforcement Learning Approach (2010) (5)Impact of user context on song selection (2008) On the Use of Computational Models of Influence for Managing Interactive Virtual Experiences (2008) Story similarity measures for drama management with ttd-mdps (2014) (5)Activity Discovery : Sparse Motifs from Multivariate Time Series (5)A Bayesian Framework for Nash Equilibrium Inference in Human-Robot Parallel Play (2020) Expressing Tasks Robustly via Multiple Discount Factors (2015) (4)Object-Focused Advice in Reinforcement Learning (2016) (4)MotifMark: Finding Regulatory Motifs in DNA Sequences (2017) Explorations of the practical issues of learning prediction-control tasks using temporal difference learning methods (1992) MITMatlab: A Tool for Interactive Supercomputing (1999) (4)The Parallel Problems Server: an Interactive Tool for Large Scale Machine Learning (1999) (3)Towards automatic personalization of device controls (2009) Purely Geometric Scene Association and Retrieval - A Case for Macro Scale 3D Geometry (2018) (3)An Architecture for Supporting Personalized Agents in Appliance Interaction (2002) (3)State Space Decomposition and Subgoal Creation for Transfer in Deep Reinforcement Learning (2017) (3)On the use of Computational Models of Influence for Interactive Virtual Experience Management (2008) (3)Optimization problems involving collections of dependent objects (2008) Horizon-based Value Iteration (2007) (3)Boosting Diverse Learners for Domain Agnostic Time Series Classification (2007) (2)Randomized Local Search as Successive Estimation of Probability Densities (2006) (2)User modeling for personalized universal appliance interaction (2003) Managing Domain Knowledge and Multiple Models with Boosting (2007) (2)Opportunities for Machine Learning to Impact Interactive Narrative (2007) (2)Ask Me Anything about MOOCs (2017) Discovery, Evaluation, and Exploration of Human Supplied Options and Constraints (2015) (2)A decision-theoretic approach to file consistency in constrained peer-to-peer device networks (2006) Who speaks for AI? (2016) Reports of the AAAI 2010 Conference Workshops (2010) AAAI-2002 Fall Symposium Series (2003) Accord: Middleware Support for Contextual, Ubiquitous Data Management on User Devices (2006) (1)DSL Design for Reinforcement Learning Agents (2017) (1)Sparse multi-level representations for text retrieval (1998) (1)Combining function approximation, human teachers, and training regimens for real-world RL (2010) (1)Estimating Q(s,s') with Deterministic Dynamics Gradients (2020) (0)HARD ATTENTION CONTROL BY MUTUAL INFORMA- (2020) (0)Multi-Stage Monte Carlo Approximation for Fast Generalized Data Summations (2007) (0)CPATH EAE: Extending contextualized computing in multiple institutions using threads (2012) (0)Deconvolution of component map time courses for task related activation discovery (2006) (0)Toward a Unified Framework for Inference of Hidden State under Partial Observability (2005) (0)Dimensionality Reduction for Improved Source Separation in FMRI Data (2018) Pattern Discovery for Locating Motifs in Multivariate , Real-valued Time-series Data (2007) (0)Partial signal extraction for mobile media players (2008) MEAD (A Modeling Environment for Atmospheric Discovery) (2004) (0)Topic-Centered Multi-Level Representations for Text Retrieval (1997) (0)Hard Attention Control By Mutual Information Maximization (2021) (0)Exploiting Training Regimens to Improve Learning (2009) (0)Policy Shaping from Simulated Critique in Domains with Multiple Optimal Policies (2016) (0)Transferring Agent Behaviors from Videos via Motion GANs (2017) (0)Personalized agents : papers from the 2002 AAAI Fall Symposium, November 15-17, North Falmouth, Massachusetts (2002) (0)Mining Contexts from an Application ’ s Interaction History (2005) (0)More Papers This paper list is powered by the following services:
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