Efficient interactive decision-making framework for robotic applications

[1]  P. Schönemann On artificial intelligence , 1985, Behavioral and Brain Sciences.

[2]  Herbert A. Simon,et al.  Rule Creation and Rule Learning Through Environmental Exploration , 1989, IJCAI.

[3]  Bojan Cestnik,et al.  Estimating Probabilities: A Crucial Task in Machine Learning , 1990, ECAI.

[4]  Sebastian Thrun,et al.  The MONK''s Problems-A Performance Comparison of Different Learning Algorithms, CMU-CS-91-197, Sch , 1991 .

[5]  Peter Clark,et al.  Rule Induction with CN2: Some Recent Improvements , 1991, EWSL.

[6]  Yolanda Gil,et al.  Learning by Experimentation: Incremental Refinement of Incomplete Planning Domains , 1994, International Conference on Machine Learning.

[7]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[8]  Pat Langley,et al.  Estimating Continuous Distributions in Bayesian Classifiers , 1995, UAI.

[9]  Scott Benson,et al.  Inductive Learning of Reactive Action Models , 1995, ICML.

[10]  Xuemei Wang,et al.  Learning by Observation and Practice: An Incremental Approach for Planning Operator Acquisition , 1995, ICML.

[11]  Eugene Fink,et al.  Integrating planning and learning: the PRODIGY architecture , 1995, J. Exp. Theor. Artif. Intell..

[12]  Xuemei Wang Planning While Learning Operators , 1996, AIPS.

[13]  Thomas G. Dietterich What is machine learning? , 2020, Archives of Disease in Childhood.

[14]  Jonathan Schaeffer,et al.  Sokoban: A Challenging Single-Agent Search Problem , 1997, IJCAI 1997.

[15]  Fahiem Bacchus,et al.  A Knowledge-Based Approach to Planning with Incomplete Information and Sensing , 2002, AIPS.

[16]  Jonathan Schaeffer,et al.  Using Abstraction for Planning in Sokoban , 2002, Computers and Games.

[17]  Johannes Fürnkranz,et al.  An Analysis of Rule Evaluation Metrics , 2003, ICML.

[18]  Monica N. Nicolescu,et al.  Natural methods for robot task learning: instructive demonstrations, generalization and practice , 2003, AAMAS '03.

[19]  Pat Langley,et al.  Editorial: On Machine Learning , 1986, Machine Learning.

[20]  Paolo Traverso,et al.  Automated planning - theory and practice , 2004 .

[21]  Paolo Traverso,et al.  Automated Planning: Theory & Practice , 2004 .

[22]  Steven M. LaValle,et al.  Planning algorithms , 2006 .

[23]  E. Torres-Jara,et al.  Challenges for Robot Manipulation in Human Environments , 2006 .

[24]  Manuela M. Veloso,et al.  Interactive robot task training through dialog and demonstration , 2007, 2007 2nd ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[25]  Charles C. Kemp,et al.  Challenges for robot manipulation in human environments [Grand Challenges of Robotics] , 2007, IEEE Robotics & Automation Magazine.

[26]  Thomas J. Walsh,et al.  Efficient Learning of Action Schemas and Web-Service Descriptions , 2008, AAAI.

[27]  Stefan Schaal,et al.  Robot Programming by Demonstration , 2009, Springer Handbook of Robotics.

[28]  Tamim Asfour,et al.  Toward humanoid manipulation in human-centred environments , 2008, Robotics Auton. Syst..

[29]  Brett Browning,et al.  A survey of robot learning from demonstration , 2009, Robotics Auton. Syst..

[30]  Alan Fern,et al.  The first learning track of the international planning competition , 2011, Machine Learning.

[31]  Richard Szeliski,et al.  Computer Vision - Algorithms and Applications , 2011, Texts in Computer Science.

[32]  Carme Torras,et al.  Integrating Task Planning and Interactive Learning for Robots to Work in Human Environments , 2011, IJCAI.