Cellular Automata As Models Of Natural Systems. - Andrew G. Barto (1975)

A Note on Pattern Reproduction in Tessellation Structures. - Andrew G. Barto (J. Comput. Syst. Sci., 1978)

Neuronlike adaptive elements that can solve difficult learning control problems. - Andrew G. Barto; Richard S. Sutton; Charles W. Anderson (IEEE Trans. Syst. Man Cybern., 1983)

Training and Tracking in Robotics. - Oliver G. Selfridge; Richard S. Sutton; Andrew G. Barto (IJCAI, 1985)

Pattern-recognizing stochastic learning automata. - Andrew G. Barto; P. Anandan 001 (IEEE Trans. Syst. Man Cybern., 1985)

Sequential Decision Probelms and Neural Networks. - Andrew G. Barto; Richard S. Sutton; Christopher J. C. H. Watkins (NIPS, 1989)

Explaining Temporal Differences to Create Useful Concepts for Evaluating States. - Richard C. Yee; Sharad Saxena; Paul E. Utgoff; Andrew G. Barto (AAAI, 1990)

Cerebellar control of endpoint position-a simulation model. - T. Sinkjaer; C. H. Wu; Andrew G. Barto; James C. Houk (IJCNN, 1990)

A Cortico-Cerebellar Model that Learns to Generate Distributed Motor Commands to Control a Kinematic Arm. - N. E. Berthier; Satinder P. Singh; Andrew G. Barto; James C. Houk (NIPS, 1991)

Linear systems analysis of the relationship between firing of deep cerebellar neurons and the classically conditioned nictitating membrane response in rabbits. - N. E. Berthier; Andrew G. Barto; J. W. Moore (Biol. Cybern., 1991)

Task Decomposition Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks. - Robert A. Jacobs; Michael I. Jordan; Andrew G. Barto (Cogn. Sci., 1991)

Learning reactive admittance control. - Vijaykumar Gullapalli; Roderic A. Grupen; Andrew G. Barto (ICRA, 1992)

Monte Carlo Matrix Inversion and Reinforcement Learning. - Andrew G. Barto; Michael O. Duff (NIPS, 1993)

Convergence of Indirect Adaptive Asynchronous Value Iteration Algorithms. - Vijaykumar Gullapalli; Andrew G. Barto (NIPS, 1993)

Robust Reinforcement Learning in Motion Planning. - Satinder Singh 001; Andrew G. Barto; Roderic A. Grupen; Christopher I. Connolly (NIPS, 1993)

Task Decompostiion Through Competition in a Modular Connectionist Architecture: The What and Where Vision Tasks. - Robert A. Jacobs; Michael I. Jordan; Andrew G. Barto (Machine Learning: From Theory to Applications, 1993)

Learning Admittance Mappings for Force-Guided Assembly. - Vijaykumar Gullapalli; Andrew G. Barto; Roderic A. Grupen (ICRA, 1994)

An Actor/Critic Algorithm that is Equivalent to Q-Learning. - Robert H. Crites; Andrew G. Barto (NIPS, 1994)

A Predictive Switching Model of Cerebellar Movement Control. - Andrew G. Barto; James C. Houk (NIPS, 1995)

Improving Elevator Performance Using Reinforcement Learning. - Robert H. Crites; Andrew G. Barto (NIPS, 1995)

Learning to Act Using Real-Time Dynamic Programming. - Andrew G. Barto; Steven J. Bradtke; Satinder P. Singh (Artif. Intell., 1995)

Local Bandit Approximation for Optimal Learning Problems. - Michael O. Duff; Andrew G. Barto (NIPS, 1996)

Reinforcement Learning for Mixed Open-loop and Closed-loop Control. - Eric A. Hansen; Andrew G. Barto; Shlomo Zilberstein (NIPS, 1996)

Text-Based Information Retrieval Using Exponentiated Gradient Descent. - Ron Papka; James P. Callan; Andrew G. Barto (NIPS, 1996)

Linear Least-Squares Algorithms for Temporal Difference Learning. - Steven J. Bradtke; Andrew G. Barto (Mach. Learn., 1996)

A model of cerebellar learning for control of arm movements using muscle synergies. - Andrew H. Fagg; Nathan Sitkoff; Andrew G. Barto; James C. Houk (CIRA, 1997)

Cerebellar learning for control of a two-link arm in muscle space. - Andrew H. Fagg; Nathan Sitkoff; Andrew G. Barto; James C. Houk (ICRA, 1997)

Automated Aircraft Recovery via Reinforcement Learning: Initial Experiments. - Jeffrey F. Monaco; David G. Ward; Andrew G. Barto (NIPS, 1997)

Reinforcement learning - an introduction. - Richard S. Sutton; Andrew G. Barto (MIT Press, 1998)

Learning Instance-Independent Value Functions to Enhance Local Search. - Robert Moll; Andrew G. Barto; Theodore J. Perkins; Richard S. Sutton (NIPS, 1998)

Elevator Group Control Using Multiple Reinforcement Learning Agents. - Robert H. Crites; Andrew G. Barto (Mach. Learn., 1998)

Reinforcement Learning: An Introduction. - Richard S. Sutton; Andrew G. Barto (IEEE Trans. Neural Networks, 1998)

A Cerebellar Model of Timing and Prediction in the Control of Reaching. - Andrew G. Barto; Andrew H. Fagg; Nathan Sitkoff; James C. Houk (Neural Comput., 1999)

Machine Learning for Subproblem Selection. - Robert Moll; Theodore J. Perkins; Andrew G. Barto (ICML, 2000)

Combining Reinforcement Learning with a Local Control Algorithm. - Jette Randløv; Andrew G. Barto; Michael T. Rosenstein (ICML, 2000)

Automated State Abstraction for Options using the U-Tree Algorithm. - Anders Jonsson 001; Andrew G. Barto (NIPS, 2000)

Automatic Discovery of Subgoals in Reinforcement Learning using Diverse Density. - Amy McGovern; Andrew G. Barto (ICML, 2001)

Lyapunov-Constrained Action Sets for Reinforcement Learning. - Theodore J. Perkins; Andrew G. Barto (ICML, 2001)

Heuristic Search in Infinite State Spaces Guided by Lyapunov Analysis. - Theodore J. Perkins; Andrew G. Barto (IJCAI, 2001)

Robot Weightlifting By Direct Policy Search. - Michael T. Rosenstein; Andrew G. Barto (IJCAI, 2001)

The Emergence of Multiple Movement Units in the Presence of Noise and Feedback Delay. - Michael Kositsky; Andrew G. Barto (NIPS, 2001)

PolicyBlocks: An Algorithm for Creating Useful Macro-Actions in Reinforcement Learning. - Marc Pickett; Andrew G. Barto (ICML, 2002)

Model Minimization in Hierarchical Reinforcement Learning. - Balaraman Ravindran; Andrew G. Barto (SARA, 2002)

The emergence of movement units through learning with noisy efferent signals and delayed sensory feedback. - Michael Kositsky; Andrew G. Barto (Neurocomputing, 2002)

Lyapunov Design for Safe Reinforcement Learning. - Theodore J. Perkins; Andrew G. Barto (J. Mach. Learn. Res., 2002)

Building a Basic Block Instruction Scheduler with Reinforcement Learning and Rollouts. - Amy McGovern; J. Eliot B. Moss; Andrew G. Barto (Mach. Learn., 2002)

Relativized Options: Choosing the Right Transformation. - Balaraman Ravindran; Andrew G. Barto (ICML, 2003)

SMDP Homomorphisms: An Algebraic Approach to Abstraction in Semi-Markov Decision Processes. - Balaraman Ravindran; Andrew G. Barto (IJCAI, 2003)

Recent Advances in Hierarchical Reinforcement Learning. - Andrew G. Barto; Sridhar Mahadevan (Discret. Event Dyn. Syst., 2003)

Reinforcement learning with supervision by a stable controller. - Michael T. Rosenstein; Andrew G. Barto (ACC, 2004)

Using relative novelty to identify useful temporal abstractions in reinforcement learning. - Özgür Simsek; Andrew G. Barto (ICML, 2004)

Reinforcement learning in the real world. - Andrew G. Barto (IJCNN, 2004)

Intrinsically Motivated Reinforcement Learning. - Satinder Singh 001; Andrew G. Barto; Nuttapong Chentanez (NIPS, 2004)

A causal approach to hierarchical decomposition of factored MDPs. - Anders Jonsson 001; Andrew G. Barto (ICML, 2005)

Identifying useful subgoals in reinforcement learning by local graph partitioning. - Özgür Simsek; Alicia P. Wolfe; Andrew G. Barto (ICML, 2005)

Learning Skills in Reinforcement Learning Using Relative Novelty. - Özgür Simsek; Andrew G. Barto (SARA, 2005)

Decision Tree Methods for Finding Reusable MDP Homomorphisms. - Alicia P. Wolfe; Andrew G. Barto (AAAI, 2006)

Autonomous shaping: knowledge transfer in reinforcement learning. - George Dimitri Konidaris; Andrew G. Barto (ICML, 2006)

An intrinsic reward mechanism for efficient exploration. - Özgür Simsek; Andrew G. Barto (ICML, 2006)

Improving Intelligent Tutoring Systems: Using Expectation Maximization to Learn Student Skill Levels. - Kimberly Ferguson; Ivon Arroyo; Sridhar Mahadevan; Beverly Park Woolf; Andrew G. Barto (Intelligent Tutoring Systems, 2006)

An Adaptive Robot Motivational System. - George Dimitri Konidaris; Andrew G. Barto (SAB, 2006)

Causal Graph Based Decomposition of Factored MDPs. - Anders Jonsson 001; Andrew G. Barto (J. Mach. Learn. Res., 2006)

Learning at the level of synergies for a robot weightlifter. - Michael T. Rosenstein; Andrew G. Barto; Richard E. A. Van Emmerik (Robotics Auton. Syst., 2006)

Repairing Disengagement With Non-Invasive Interventions. - Ivon Arroyo; Kimberly Ferguson; Jeffrey Johns; Toby Dragon; Hasmik Meheranian; Don Fisher; Andrew G. Barto; Sridhar Mahadevan; Beverly Park Woolf (AIED, 2007)

Building Portable Options: Skill Transfer in Reinforcement Learning. - George Dimitri Konidaris; Andrew G. Barto (IJCAI, 2007)

Deictic Option Schemas. - Balaraman Ravindran; Andrew G. Barto; Vimal Mathew (IJCAI, 2007)

Active Learning of Dynamic Bayesian Networks in Markov Decision Processes. - Anders Jonsson 001; Andrew G. Barto (SARA, 2007)

Adaptive Control of Duty Cycling in Energy-Harvesting Wireless Sensor Networks. - Christopher M. Vigorito; Deepak Ganesan; Andrew G. Barto (SECON, 2007)

Temporal difference learning. - Andrew G. Barto (Scholarpedia, 2007)

Hierarchical Representations of Behavior for Efficient Creative Search. - Christopher M. Vigorito; Andrew G. Barto (AAAI Spring Symposium: Creative Intelligent Systems, 2008)

Skill Characterization Based on Betweenness. - Özgür Simsek; Andrew G. Barto (NIPS, 2008)

Efficient Skill Learning using Abstraction Selection. - George Dimitri Konidaris; Andrew G. Barto (IJCAI, 2009)

Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining. - George Dimitri Konidaris; Andrew G. Barto (NIPS, 2009)

Competence progress intrinsic motivation. - Andrew Stout; Andrew G. Barto (ICDL, 2010)

Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories. - George Dimitri Konidaris; Scott Kuindersma; Andrew G. Barto; Roderic A. Grupen (NIPS, 2010)

Genetic Programming for Reward Function Search. - Scott Niekum; Andrew G. Barto; Lee Spector (IEEE Trans. Auton. Ment. Dev., 2010)

Intrinsically Motivated Reinforcement Learning: An Evolutionary Perspective. - Satinder Singh 001; Richard L. Lewis; Andrew G. Barto; Jonathan Sorg (IEEE Trans. Auton. Ment. Dev., 2010)

Intrinsically Motivated Hierarchical Skill Learning in Structured Environments. - Christopher M. Vigorito; Andrew G. Barto (IEEE Trans. Auton. Ment. Dev., 2010)

Adaptive Real-Time Dynamic Programming. - Andrew G. Barto (Encyclopedia of Machine Learning, 2010)

Autonomous Skill Acquisition on a Mobile Manipulator. - George Dimitri Konidaris; Scott Kuindersma; Roderic A. Grupen; Andrew G. Barto (AAAI, 2011)

Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery. - Scott Niekum; Andrew G. Barto (Lifelong Learning, 2011)

Evolution of reward functions for reinforcement learning. - Scott Niekum; Lee Spector; Andrew G. Barto (GECCO (Companion), 2011)

Learning dynamic arm motions for postural recovery. - Scott Kuindersma; Roderic A. Grupen; Andrew G. Barto (Humanoids, 2011)

Conjugate Markov Decision Processes. - Philip S. Thomas; Andrew G. Barto (ICML, 2011)

Adaptive Step-Size for Online Temporal Difference Learning. - William Dabney; Andrew G. Barto (AAAI, 2012)

TD-DeltaPi: A Model-Free Algorithm for Efficient Exploration. - Bruno Castro da Silva; Andrew G. Barto (AAAI, 2012)

Motor primitive discovery. - Philip S. Thomas; Andrew G. Barto (ICDL-EPIROB, 2012)

Learning Parameterized Skills. - Bruno Castro da Silva; George Dimitri Konidaris; Andrew G. Barto (ICML, 2012)

Learning and generalization of complex tasks from unstructured demonstrations. - Scott Niekum; Sarah Osentoski; George Dimitri Konidaris; Andrew G. Barto (IROS, 2012)

Variational Bayesian Optimization for Runtime Risk-Sensitive Control. - Scott Kuindersma; Roderic A. Grupen; Andrew G. Barto (Robotics: Science and Systems, 2012)

Robot learning from demonstration by constructing skill trees. - George Dimitri Konidaris; Scott Kuindersma; Roderic A. Grupen; Andrew G. Barto (Int. J. Robotics Res., 2012)

Transfer in Reinforcement Learning via Shared Features. - George Dimitri Konidaris; Ilya Scheidwasser; Andrew G. Barto (J. Mach. Learn. Res., 2012)

Behavioral Hierarchy: Exploration and Representation. - Andrew G. Barto; George Dimitri Konidaris; Christopher M. Vigorito (Computational and Robotic Models of the Hierarchical Organization of Behavior, 2013)

Intrinsic Motivation and Reinforcement Learning. - Andrew G. Barto (Intrinsically Motivated Learning in Natural and Artificial Systems, 2013)

Incremental Semantically Grounded Learning from Demonstration. - Scott Niekum; Sachin Chitta; Andrew G. Barto; Bhaskara Marthi; Sarah Osentoski (Robotics: Science and Systems, 2013)

Variable risk control via stochastic optimization. - Scott Kuindersma; Roderic A. Grupen; Andrew G. Barto (Int. J. Robotics Res., 2013)

Active Learning of Parameterized Skills. - Bruno Castro da Silva; George Dimitri Konidaris; Andrew G. Barto (ICML, 2014)

Learning parameterized motor skills on a humanoid robot. - Bruno Castro da Silva; Gianluca Baldassarre; George Dimitri Konidaris; Andrew G. Barto (ICRA, 2014)

Optimal Behavioral Hierarchy. - Alec Solway; Carlos Diuk; Natalia Córdova; Debbie Yee; Andrew G. Barto; Yael Niv; Matthew M. Botvinick (PLoS Comput. Biol., 2014)

Commentary on Utility and Bounds. - Andrew G. Barto (Top. Cogn. Sci., 2014)

Online Bayesian changepoint detection for articulated motion models. - Scott Niekum; Sarah Osentoski; Christopher G. Atkeson; Andrew G. Barto (ICRA, 2015)

Learning grounded finite-state representations from unstructured demonstrations. - Scott Niekum; Sarah Osentoski; George Dimitri Konidaris; Sachin Chitta; Bhaskara Marthi; Andrew G. Barto (Int. J. Robotics Res., 2015)

On Ensuring that Intelligent Machines Are Well-Behaved. - Philip S. Thomas; Bruno Castro da Silva; Andrew G. Barto; Emma Brunskill (CoRR, 2017)

Adaptive Real-Time Dynamic Programming. - Andrew G. Barto (Encyclopedia of Machine Learning and Data Mining, 2017)

Reinforcement learning - an introduction, 2nd Edition. - Richard S. Sutton; Andrew G. Barto (MIT Press, 2018)

Reinforcement Learning: Connections, Surprises, and Challenge. - Andrew G. Barto (AI Mag., 2019)

Editorial: Intrinsically Motivated Open-Ended Learning in Autonomous Robots. - Vieri Giuliano Santucci; Pierre-Yves Oudeyer; Andrew G. Barto; Gianluca Baldassarre (Frontiers Neurorobotics, 2019)

Looking Back on the Actor-Critic Architecture. - Andrew G. Barto; Richard S. Sutton; Charles W. Anderson (IEEE Trans. Syst. Man Cybern. Syst., 2021)