Boundary Keepers Takers
نویسنده
چکیده
منابع مشابه
A new perspective to the keepaway soccer: the takers
Keepaway is a sub-problem of RoboCup Soccer Simulator in which ’the keepers’ try to maintain the possession of the ball, while ’the takers’ try to steal the ball or force it out of bounds. By using Reinforcement Learning as a learning method, a lot of research has been done in this domain. In these works, there has been a remarkable success for the intelligent keepers part, however most of thes...
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RoboCup simulated soccer presents many challenges to machine learning (ML) methods, including a large state space, hidden and uncertain state, multiple agents, and long and variable delays in the effects of actions. While there have been many successful ML applications to portions of the robotic soccer task, it appears to be still beyond the capabilities of modern machine learning techniques to...
متن کاملScaling Reinforcement Learning toward RoboCup Soccer
RoboCup simulated soccer presents many challenges to reinforcement learning methods, including a large state space, hidden and uncertain state, multiple agents, and long and variable delays in the e ects of actions. We describe our application of episodic SMDP Sarsa( ) with linear tile-coding function approximation and variable to learning higher-level decisions in a keepaway subtask of RoboCup...
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RoboCup simulated soccer presents many challenges to reinforcement learning methods, including a large state space, hidden and uncertain state, multiple independent agents learning simultaneously, and long and variable delays in the effects of actions. We describe our application of episodic SMDP Sarsa(λ) with linear tile-coding function approximation and variable λ to learning higher-level dec...
متن کاملGenotypic versus Behavioural Diversity for Teams of Programs under the 4-v-3 Keepaway Soccer Task
Keepaway soccer is a challenging robot control task that has been widely used as a benchmark for evaluating multi-agent learning systems. The majority of research in this domain has been from the perspective of reinforcement learning (function approximation) and neuroevolution. One of the challenges under multi-agent tasks such as keepaway is to formulate effective mechanisms for diversity main...
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