Robot Shaping: Developing Autonomous Agents Through Learning

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

[2]  Ben J. A. Kröse,et al.  Learning from delayed rewards , 1995, Robotics Auton. Syst..

[3]  José del R. Millán,et al.  Reinforcement learning of goal-directed obstacle-avoiding reaction strategies in an autonomous mobile robot , 1995, Robotics Auton. Syst..

[4]  Long Ji Lin,et al.  Reinforcement Learning of Non-Markov Decision Processes , 1995, Artif. Intell..

[5]  Ian Horswill,et al.  Analysis of Adaptation and Environment , 1995, Artif. Intell..

[6]  Randall D. Beer,et al.  A Dynamical Systems Perspective on Agent-Environment Interaction , 1995, Artif. Intell..

[7]  Andrew G. Barto,et al.  Learning to Act Using Real-Time Dynamic Programming , 1995, Artif. Intell..

[8]  Marco Colombetti,et al.  Training Agents to Perform Sequential Behavior , 1994, Adapt. Behav..

[9]  Marco Colombetti,et al.  Learning to control an autonomous robot by distributed genetic algorithms , 1993 .

[10]  Marco Dorigo,et al.  Genetic and Non-Genetic Operators in ALECSYS , 1993, Evolutionary Computation.

[11]  Leslie Pack Kaelbling,et al.  Learning in embedded systems , 1993 .

[12]  John R. Koza,et al.  Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.

[13]  Marco Dorigo,et al.  Genetics-based machine learning and behavior-based robotics: a new synthesis , 1993, IEEE Trans. Syst. Man Cybern..

[14]  Ian Horswill,et al.  Cultural Support for Improvisation , 1992, AAAI.

[15]  John R. Koza,et al.  Automatic Programming of Robots Using Genetic Programming , 1992, AAAI.

[16]  Sridhar Mahadevan,et al.  Enhancing Transfer in Reinforcement Learning by Building Stochastic Models of Robot Actions , 1992, ML.

[17]  Paul E. Utgoff,et al.  A Teaching Method for Reinforcement Learning , 1992, ML.

[18]  Randall D. Beer,et al.  Evolving Dynamical Neural Networks for Adaptive Behavior , 1992, Adapt. Behav..

[19]  Marco Dorigo,et al.  Using transputers to increase speed and flexibility of genetics-based machine learning systems , 1992, Microprocess. Microprogramming.

[20]  Sridhar Mahadevan,et al.  Automatic Programming of Behavior-Based Robots Using Reinforcement Learning , 1991, Artif. Intell..

[21]  Marco Dorigo,et al.  Optimization, Learning and Natural Algorithms , 1992 .

[22]  Rodney A. Brooks,et al.  Artificial Life and Real Robots , 1992 .

[23]  Steven D. Whitehead,et al.  A Complexity Analysis of Cooperative Mechanisms in Reinforcement Learning , 1991, AAAI.

[24]  R. A. Brooks,et al.  Intelligence without Representation , 1991, Artif. Intell..

[25]  Marco Dorigo,et al.  Alecsys: A Parallel Laboratory for Learning Classifier Systems , 1991, ICGA.

[26]  Rodney A. Brooks,et al.  Learning to Coordinate Behaviors , 1990, AAAI.

[27]  Rodney A. Brooks,et al.  Elephants don't play chess , 1990, Robotics Auton. Syst..

[28]  Ronald C. Arkin,et al.  Integrating behavioral, perceptual, and world knowledge in reactive navigation , 1990, Robotics Auton. Syst..

[29]  Leslie Pack Kaelbling,et al.  Action and planning in embedded agents , 1990, Robotics Auton. Syst..

[30]  Rodney A. Brooks,et al.  The Behavior Language: User''s Guide , 1990 .

[31]  D.E. Goldberg,et al.  Classifier Systems and Genetic Algorithms , 1989, Artif. Intell..

[32]  Leslie Pack Kaelbling,et al.  An Architecture for Intelligent Reactive Systems , 1987 .

[33]  Leslie Pack Kaelbling,et al.  The Synthesis of Digital Machines With Provable Epistemic Properties , 1986, TARK.

[34]  Michael Georgeff,et al.  Reasoning about actions and plans , 1986 .

[35]  Richard S. Sutton,et al.  Temporal credit assignment in reinforcement learning , 1984 .

[36]  Richard S. Sutton,et al.  Neuronlike adaptive elements that can solve difficult learning control problems , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[37]  John H. Holland,et al.  COGNITIVE SYSTEMS BASED ON ADAPTIVE ALGORITHMS1 , 1978 .

[38]  John H. Holland,et al.  Cognitive systems based on adaptive algorithms , 1977, SGAR.

[39]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .