The Strength of Weak Learnability
Machine Learning
Genetic programming (videotape): the movie
Genetic programming (videotape): the movie
Original Contribution: Stacked generalization
Neural Networks
C4.5: programs for machine learning
C4.5: programs for machine learning
Reinforcement learning for robots using neural networks
Reinforcement learning for robots using neural networks
Team-partitioned, opaque-transition reinforcement learning
Proceedings of the third annual conference on Autonomous Agents
Artificial Intelligence - Special issue on Robocop: the first step
RoboCup-97: Robot Soccer World Cup I
RoboCup-97: Robot Soccer World Cup I
RoboCup-98: Robot Soccer World Cup II
RoboCup-98: Robot Soccer World Cup II
RoboCup-99: Robot Soccer World Cup III
RoboCup-99: Robot Soccer World Cup III
The MAXQ Method for Hierarchical Reinforcement Learning
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Advances in Neural Information Processing Systems 5, [NIPS Conference]
Co-evolving Soccer Softbot Team Coordination with Genetic Programming
RoboCup-97: Robot Soccer World Cup I
Layered learning in multiagent systems
Layered learning in multiagent systems
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
The RoboCup synthetic agent challenge 97
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Layered Learning in Genetic Programming for a Cooperative Robot Soccer Problem
EuroGP '01 Proceedings of the 4th European Conference on Genetic Programming
The Chin Pinch: A Case Study in Skill Learning on a Legged Robot
RoboCup 2006: Robot Soccer World Cup X
Autonomous Learning of Ball Trapping in the Four-Legged Robot League
RoboCup 2006: Robot Soccer World Cup X
Layered Learning for a Soccer Legged Robot Helped with a 3D Simulator
RoboCup 2007: Robot Soccer World Cup XI
Multigrid Reinforcement Learning with Reward Shaping
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Transfer learning through indirect encoding
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Multi-strategy learning made easy
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
An efficient evolutionary algorithm for solving incrementally structured problems
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Comparing fuzzy naive bayes and gaussian naive bayes for decision making in robocup 3d
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Learning teleoreactive logic programs from problem solving
ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming
Learning from demonstration with swarm hierarchies
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Multistrategy Operators for Relational Learning and Their Cooperation
Fundamenta Informaticae
Reinforcement Learning with Reward Shaping and Mixed Resolution Function Approximation
International Journal of Agent Technologies and Systems
Open-ended behavioral complexity for evolved virtual creatures
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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This paper presents layered learning, a hierarchical machine learning paradigm. Layered learning applies to tasks for which learning a direct mapping from inputs to outputs is intractable with existing learning algorithms. Given a hierarchical task decomposition into subtasks, layered learning seamlessly integrates separate learning at each subtask layer. The learning of each subtask directly facilitates the learning of the next higher subtask layer by determining at least one of three of its components: (i) the set of training examples; (ii) the input representation; and/or (iii) the output representation. We introduce layered learning in its domain-independent general form. We then present a full implementation in a complex domain, namely simulated robotic soccer.