Using coevolution in complex domains
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Summary
This thesis will try to answer the question of whether coevolution can be applied successfully to complex domains, and three techniques are introduced to tackle the robotic soccer problem.
- Type
- article
- Published
- 2009-09-30
- Cited by
- 0
- References
- 143
- Access
- Open access
- OpenAlex
- https://openalex.org/W50794240
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:108172712
Keywords
Coevolution, Computer science, Artificial intelligence, Reinforcement learning, Domain (mathematical analysis)
References
- Evolutionary Body Building: Adaptive Physical Designs for Robots
- Co-Evolution of Form and Function in the Design of Autonomous Agents: Micro Air Vehicle Project
- Training Feedforward Neural Networks Using Genetic Algorithms
- Adaptive hexapod gait control using anytime learning with fitness biasing
- Flexible Learning of Problem Solving Heuristics Through Adaptive Search
- Simulated Co-Evolution as the Mechanism for Emergent Planning and Scheduling
- Game Theory-based Data Mining Technique for Strategy Making of a Soccer Simulation Coach Agent
- The Only Challenging Problems Are Deceptive: Global Search by Solving Order-1 Hyperplanes
- Learning of Cooperative actions in multi-agent systems: a case study of pass play in Soccer
- An empirical analysis of collaboration methods in cooperative coevolutionary algorithms
- Escaping brittleness: the possibilities of general-purpose learning algorithms applied to parallel rule-based systems
- Multi-Objective Learning via Genetic Algorithms
- Learning to Co-operate in Multi-Agent Systems: Experiments with the RoboCup Simulator
- Evolving cooperative robotic behaviour using distributed genetic programming
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- Competitive Environments Evolve Better Solutions for Complex Tasks
- Evolutionsstrategie : Optimierung technischer Systeme nach Prinzipien der biologischen Evolution
- A Mathematical Framework for the Study of Coevolution
- Genetic programming 2 - automatic discovery of reusable programs
- Comparing different methods to speed up reinforcement learning in a complex domain
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