Andere Kunden interessierten sich auch für
![Reinforcement Learning, Logic and Evolutionary Computation]( "Reinforcement Learning, Logic and Evolutionary Computation")
Reinforcement Learning, Logic and Evolutionary Computation51,99 €![Poker Learner: Reinforcement Learning Applied to Texas Hold'em Poker]( "Poker Learner: Reinforcement Learning Applied to Texas Hold'em Poker")
Poker Learner: Reinforcement Learning Applied to Texas Hold'em Poker36,99 €![Lateral Control of Autonomous Vehicle Based on Reinforcement Learning]( "Lateral Control of Autonomous Vehicle Based on Reinforcement Learning")
Lateral Control of Autonomous Vehicle Based on Reinforcement Learning36,99 €![Stochastic Systems Divergence through Reinforcement Learning]( "Stochastic Systems Divergence through Reinforcement Learning")
Stochastic Systems Divergence through Reinforcement Learning44,99 €![Improved Reinforcement-Based Profile Learning for Documents Filtering]( "Improved Reinforcement-Based Profile Learning for Documents Filtering")
Improved Reinforcement-Based Profile Learning for Documents Filtering32,99 €![Roulette Wheel Selection Algorithm and Reinforcement Learning]( "Roulette Wheel Selection Algorithm and Reinforcement Learning")
Roulette Wheel Selection Algorithm and Reinforcement Learning27,99 €![Analysis of Reinforcement Learning Algorithms for Swarm Learning]( "Analysis of Reinforcement Learning Algorithms for Swarm Learning")
Analysis of Reinforcement Learning Algorithms for Swarm Learning32,99 €
This work models certain processes of nature such as biological evolution and co-evolution as learning processes, and it proposes some techniques that can ensure that these learning processes really occur and can be used to solve certain complex problems such as the game of Go. Go is an ancient and very complex game with simple rules, a game which still presents a challenge for Artificial Intelligence. This work covers certain approaches that can be applied in order to solve this problem, and which are useful for solving other problems, with a proposal to use competitive and cooperative co-evolutionary learning methods and other techniques as suggested by the author.