Emma Brunskill

Yannis Flet-Berliac

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits.

[BibT_eX]

[DOI]

Tong Mu

Yash Chandak

Tatsunori B. Hashimoto

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Giving Feedback on Interactive Student Programs with Meta-Exploration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Oracle Inequalities for Model Selection in Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Off-Policy Evaluation for Action-Dependent Non-stationary Environments.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Identification of Subgroups With Similar Benefits in Off-Policy Policy Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Conference on Health, Inference, and Learning, 2022

Constraint Sampling Reinforcement Learning: Incorporating Expertise for Faster Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making.

[BibT_eX]

[DOI]

CoRR, 2021

On the Opportunities and Risks of Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2021

Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Martin J. Wainwright

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Design of Experiments for Stochastic Contextual Linear Bandits.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Play to Grade: Testing Coding Games as Classifying Markov Decision Process.

[BibT_eX]

[DOI]

Allen Nie

Chris Piech

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes.

[BibT_eX]

[DOI]

Hyunji Alex Nam

Scott L. Fleming

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Universal Off-Policy Evaluation.

[BibT_eX]

[DOI]

Yash Chandak

Scott Niekum

Bruno C. da Silva

Erik G. Learned-Miller

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Power Constrained Bandits.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Healthcare Conference, 2021

EnglishBot: An AI-Powered Conversational System for Second Language Learning.

[BibT_eX]

[DOI]

Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

Automatic Adaptive Sequencing in a Webgame.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

Online Model Selection for Reinforcement Learning with Function Approximation.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Provably Good Batch Reinforcement Learning Without Great Exploration.

[BibT_eX]

[DOI]

CoRR, 2020

Learning Abstract Models for Strategic Exploration and Fast Reward Transfer.

[BibT_eX]

[DOI]

CoRR, 2020

Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Provably Good Batch Off-Policy Reinforcement Learning Without Great Exploration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Near Optimal Policies with Low Inherent Bellman Error.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling.

[BibT_eX]

[DOI]

Pierre-Luc Bacon

Proceedings of the 37th International Conference on Machine Learning, 2020

Towards Suggesting Actionable Interventions for Wheel Spinning Students.

[BibT_eX]

[DOI]

Tong Mu

Andrea Jetten

Proceedings of the 13th International Conference on Educational Data Mining, 2020

Frequentist Regret Bounds for Randomized Least-Squares Value Iteration.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Sublinear Optimal Policy Value Estimation in Contextual Bandits.

[BibT_eX]

[DOI]

Weihao Kong

Gregory Valiant

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Supporting children's math learning with feedback-augmented narrative technology.

[BibT_eX]

[DOI]

Abdallah A. AbuHashem

Proceedings of the 19th ACM International Conference on Interaction Design and Children, 2020

Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Missingness as Stability: Understanding the Structure of Missingness in Longitudinal EHR data and its Impact on Reinforcement Learning in Healthcare.

[BibT_eX]

[DOI]

CoRR, 2019

Directed Exploration for Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Off-Policy Policy Gradient with State Distribution Correction.

[BibT_eX]

[DOI]

CoRR, 2019

Separating value functions across time-scales.

[BibT_eX]

[DOI]

CoRR, 2019

Where's the Reward?

[BibT_eX]

[DOI]

Vincent Aleven

Int. J. Artif. Intell. Educ., 2019

Value Driven Representation for Human-in-the-Loop Reinforcement Learning.

[BibT_eX]

[DOI]

Ramtin Keramati

Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, 2019

Off-Policy Policy Gradient with Stationary Distribution Correction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Fake It Till You Make It: Learning-Compatible Performance Support.

[BibT_eX]

[DOI]

Jonathan Bragg

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Limiting Extrapolation in Linear Approximate Value Iteration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Almost Horizon-Free Structure-Aware Best Policy Identification with a Generative Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Offline Contextual Bandits with High Probability Fairness Guarantees.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Key Phrase Extraction for Generating Educational Question-Answer Pairs.

[BibT_eX]

[DOI]

Proceedings of the Sixth ACM Conference on Learning @ Scale, 2019

BookBuddy: Turning Digital Materials Into Interactive Foreign Language Lessons Through a Voice Chatbot.

[BibT_eX]

[DOI]

Proceedings of the Sixth ACM Conference on Learning @ Scale, 2019

Fairer but Not Fair Enough On the Equitability of Knowledge Tracing.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Separable value functions across time-scales.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Combining parametric and nonparametric models for off-policy evaluation.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Policy Certificates: Towards Accountable Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure.

[BibT_eX]

[DOI]

Karan Goel

Proceedings of the 7th International Conference on Learning Representations, 2019

Not Everyone Writes Good Examples but Good Examples Can Come from Anywhere.

[BibT_eX]

[DOI]

Ece Kamar

Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, 2019

QuizBot: A Dialogue-based Adaptive Learning System for Factual Knowledge.

[BibT_eX]

[DOI]

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

PLOTS: Procedure Learning from Observations using subTask Structure.

[BibT_eX]

[DOI]

Tong Mu

Karan Goel

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Distilling Information from a Flood: A Possibility for the Use of Meta-Analysis and Systematic Review in Machine Learning Research.

[BibT_eX]

[DOI]

Peter Henderson

CoRR, 2018

Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calibration Matters.

[BibT_eX]

[DOI]

CoRR, 2018

Sample-Efficient Deep RL with Generative Adversarial Tree Search.

[BibT_eX]

[DOI]

Kamyar Azizzadenesheli

Animashree Anandkumar

CoRR, 2018

Strategic Object Oriented Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2018

When Simple Exploration is Sample Efficient: Identifying Sufficient Conditions for Random Exploration to Yield PAC RL Algorithms.

[BibT_eX]

[DOI]

CoRR, 2018

Shared Autonomy for an Interactive AI System.

[BibT_eX]

[DOI]

Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology Adjunct Proceedings, 2018

Representation Balancing MDPs for Off-policy Policy Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Combining adaptivity with progression ordering for intelligent tutoring systems.

[BibT_eX]

[DOI]

Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018

Adaptive natural-language targeting for student feedback.

[BibT_eX]

[DOI]

Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018

Exploring the impact of the default option on student engagement and performance in a statistics MOOC.

[BibT_eX]

[DOI]

Dawn Zimmaro

Candace Thille

Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018

Efficient Exploration Through Bayesian Deep Q-Networks.

[BibT_eX]

[DOI]

Kamyar Azizzadenesheli

Animashree Anandkumar

Proceedings of the 2018 Information Theory and Applications Workshop, 2018

Problem Dependent Reinforcement Learning Bounds Which Can Identify Bandit Structure in MDPs.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Decoupling Gradient-Like Learning Rules from Representations.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Generalized Grounding Graphs: A Probabilistic Framework for Understanding Grounded Commands.

[BibT_eX]

[DOI]

Sachithra Hemachandra

CoRR, 2017

On Ensuring that Intelligent Machines Are Well-Behaved.

[BibT_eX]

[DOI]

Bruno Castro da Silva

Andrew G. Barto

CoRR, 2017

Decoupling Learning Rules from Representations.

[BibT_eX]

[DOI]

CoRR, 2017

Policy Gradient Methods for Reinforcement Learning with Function Approximation and Action-Dependent Baselines.

[BibT_eX]

[DOI]

CoRR, 2017

Using Options for Long-Horizon Off-Policy Evaluation.

[BibT_eX]

[DOI]

CoRR, 2017

Sample Efficient Feature Selection for Factored MDPs.

[BibT_eX]

[DOI]

CoRR, 2017

UBEV - A More Practical Algorithm for Episodic RL with Near-Optimal PAC and Regret Guarantees.

[BibT_eX]

[DOI]

Tor Lattimore

CoRR, 2017

Importance Sampling for Fair Policy Selection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation.

[BibT_eX]

[DOI]

Zhaohan Guo

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Regret Minimization in MDPs with Options without Prior Knowledge.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning.

[BibT_eX]

[DOI]

Tor Lattimore

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Robust Evaluation Matrix: Towards a More Principled Offline Exploration of Instructional Policies.

[BibT_eX]

[DOI]

Vincent Aleven

Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Sample Efficient Policy Search for Optimal Stopping Domains.

[BibT_eX]

[DOI]

Karan Goel

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

The Misidentified Identifiability Problem of Bayesian Knowledge Tracing.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Educational Data Mining, 2017

Trading off Rewards and Errors in Multi-Armed Bandits.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Predictive Off-Policy Policy Evaluation for Nonstationary Decision Problems, with Applications to Digital Marketing.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Importance Sampling with Unequal Support.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Where to Add Actions in Human-in-the-Loop Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Faster Teaching via POMDP Planning.

[BibT_eX]

[DOI]

Cogn. Sci., 2016

Automatically Learning to Teach to the Learning Objectives.

[BibT_eX]

[DOI]

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Latent Contextual Bandits and their Application to Personalized Recommendations for New Users.

[BibT_eX]

[DOI]

Li Zhou

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Efficient Bayesian Clustering for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Questimator: Generating Knowledge Assessments for Arbitrary Topics.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Energetic Natural Gradient Descent.

[BibT_eX]

[DOI]

Bruno Castro da Silva

Proceedings of the 33nd International Conference on Machine Learning, 2016

Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Sequence Matters, But How Exactly? A Method for Evaluating Activity Sequences from Data.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Educational Data Mining, 2016

Sequence Matters, But How Do I Discover How? Towards a Workflow for Evaluating Activity Sequences from Data.

[BibT_eX]

[DOI]

Proceedings of the Workshop and Tutorial Proceedings of the 9th International Conference on Educational Data Mining, 2016

Interface Design Optimization as a Multi-Armed Bandit Problem.

[BibT_eX]

[DOI]

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

Toward a Learning Science for Complex Crowdsourcing Tasks.

[BibT_eX]

[DOI]

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

PAC Continuous State Online Multitask Reinforcement Learning with Identification.

[BibT_eX]

[DOI]

Zhaohan Guo

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

A PAC RL Algorithm for Episodic POMDPs.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Offline Evaluation of Online Reinforcement Learning Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

The Online Discovery Problem and Its Application to Lifelong Reinforcement Learning.

[BibT_eX]

[DOI]

Lihong Li

CoRR, 2015

Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Learning the Features Used To Decide How to Teach.

[BibT_eX]

[DOI]

Proceedings of the Second ACM Conference on Learning @ Scale, 2015

From Predictive Models to Instructional Policies.

[BibT_eX]

[DOI]

Joseph Rollinson

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Towards Understanding How to Leverage Sense-making, Induction/Refinement and Fluency to Improve Robust Learning.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Educational Data Mining, 2015

The Queue Method: Handling Delay, Heuristics, Prior Data, and Evaluation in Bandits.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Concurrent PAC RL.

[BibT_eX]

[DOI]

Zhaohan Guo

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Stochastic Optimization of a Locally Smooth Function under Correlated Bandit Feedback.

[BibT_eX]

[DOI]

CoRR, 2014

PAC-inspired Option Discovery in Lifelong Reinforcement Learning.

[BibT_eX]

[DOI]

Lihong Li

Proceedings of the 31th International Conference on Machine Learning, 2014

Online Stochastic Optimization under Correlated Bandit Feedback.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

Trading Off Scientific Knowledge and User Learning with Multi-Armed Bandits.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Educational Data Mining, 2014

Towards automatic experimentation of educational knowledge.

[BibT_eX]

[DOI]

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

Offline policy evaluation across representations with applications to educational games.

[BibT_eX]

[DOI]

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Quantifying Uncertainty in Batch Personalized Sequential Decision Making.

[BibT_eX]

[DOI]

Proceedings of the Modern Artificial Intelligence for Health Analytics, 2014

2013

New Potentials for Data-Driven Intelligent Tutoring System Development and Optimization.

[BibT_eX]

[DOI]

Kenneth R. Koedinger

Ryan Shaun Joazeiro de Baker

Elizabeth A. McLaughlin

John C. Stamper

AI Mag., 2013

Sample Complexity of Multi-task Reinforcement Learning.

[BibT_eX]

[DOI]

Lihong Li

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Regret Bounds for Reinforcement Learning with Policy Advice.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Modeling Social Information Learning among Taxi Drivers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Sequential Transfer in Multi-armed Bandit with Finite Set of Models.

[BibT_eX]

[DOI]

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

Understanding Sequential Decisions via Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

Siyuan Liu

Miguel Araujo

Rosaldo J. F. Rossetti

João Barros

Ramayya Krishnan

Proceedings of the 2013 IEEE 14th International Conference on Mobile Data Management, Milan, Italy, June 3-6, 2013, 2013

Towards operationalizing outlier detection in community health programs.

[BibT_eX]

[DOI]

Ted McCarthy

Brian DeRenzi

Joshua Evan Blumenstock

Proceedings of the International conference on information and communication technologies and development, 2013

Estimating Student Knowledge from Paired Interaction Data.

[BibT_eX]

[DOI]

Anna N. Rafferty

Jodi L. Davenport

Proceedings of the 6th International Conference on Educational Data Mining, 2013

Predicting Player Moves in an Educational Game: A Hybrid Approach.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Educational Data Mining, 2013

Analysis of the impact of errors made during health data collection using mobile phones: exploring error modeling and automatic diagnosis.

[BibT_eX]

[DOI]

Sukhada Palkar

Proceedings of the Annual Symposium on Computing for Development, 2013

2012

Incentive Decision Processes.

[BibT_eX]

[DOI]

Sashank Jakkam Reddi

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Policy Building - An Extension To User Modeling.

[BibT_eX]

[DOI]

Michael Yudelson

Proceedings of the 5th International Conference on Educational Data Mining, 2012

The Impact on Individualizing Student Models on Necessary Practice Opportunities.

[BibT_eX]

[DOI]

Jung In Lee

Proceedings of the 5th International Conference on Educational Data Mining, 2012

Bayes-optimal reinforcement learning for discrete uncertainty domains.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2011

Designing mobile interfaces for novice and low-literacy users.

[BibT_eX]

[DOI]

Indrani Medhi

Somani Patnaik

S. N. Nagasena Gautama

William Thies

Kentaro Toyama

ACM Trans. Comput. Hum. Interact., 2011

Efficient Planning under Uncertainty with Macro-actions.

[BibT_eX]

[DOI]

Ruijie He

J. Artif. Intell. Res., 2011

Partially Observable Sequential Decision Making for Problem Selection in an Intelligent Tutoring System.

[BibT_eX]

[DOI]

Stuart Russell

Proceedings of the 4th International Conference on Educational Data Mining, 2011

Estimating Prerequisite Structure From Noisy Data.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Educational Data Mining, 2011

Faster Teaching by POMDP Planning.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011

2010

Planning in partially-observable switching-mode continuous domains.

[BibT_eX]

[DOI]

Leslie Pack Kaelbling

Tomás Lozano-Pérez

Ann. Math. Artif. Intell., 2010

RAPID: A Reachable Anytime Planner for Imprecisely-sensed Domains.

[BibT_eX]

[DOI]

Stuart Russell

Proceedings of the UAI 2010, 2010

When Policies Can Be Trusted: Analyzing a Criteria to Identify Optimal Policies in MDPs with Unknown Model Parameters.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Automated Planning and Scheduling, 2010

Learning to Identify Locally Actionable Health Anomalies.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence for Development, 2010

Routing for Rural Health: Optimizing Community Health Worker Visit Schedules.

[BibT_eX]

[DOI]

Neal Lesh

Proceedings of the Artificial Intelligence for Development, 2010

PUMA: Planning Under Uncertainty with Macro-Actions.

[BibT_eX]

[DOI]

Ruijie He

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Compact parametric models for efficient sequential decision making in high-dimensional, uncertain domains.

[BibT_eX]

[DOI]

PhD thesis, 2009

Provably Efficient Learning with Typed Parametric Models.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2009

Evaluating the accuracy of data collection on mobile phones: A study of forms, SMS, and voice.

[BibT_eX]

[DOI]

Somani Patnaik

William Thies

Proceedings of the 2009 International Conference on Information and Communication Technologies and Development, 2009

Where to go: Interpreting natural directions using global inference.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

2008

CORL: A Continuous-state Offset-dynamics Reinforcement Learner.

[BibT_eX]

[DOI]

Proceedings of the UAI 2008, 2008

Continuous-State POMDPs with Hybrid Dynamics.

[BibT_eX]

[DOI]

Leslie Pack Kaelbling

Tomás Lozano-Pérez

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

2007

Collision detection in legged locomotion using supervised learning.

[BibT_eX]

[DOI]

Finale Doshi

Alexander C. Shkolnik

Thomas Kollar

Khashayar Rohanimanesh

Russ Tedrake

Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Topological mapping using spectral clustering and classification.

[BibT_eX]

[DOI]

Thomas Kollar

Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Continuous State POMDPs for Object Manipulation Tasks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2005

SLAM using Incremental Probabilistic PCA and Dimensionality Reduction.

[BibT_eX]

[DOI]