Reinforcement Learning for RoboCup Soccer Keepaway
نویسندگان
چکیده
منابع مشابه
Reinforcement Learning for RoboCup Soccer Keepaway
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 کاملArgumentation-Based Reinforcement Learning for RoboCup Soccer Keepaway
Reinforcement Learning (RL) suffers from several difficulties when applied to domains with no obvious goal state defined; this leads to inefficiency in RL algorithms. In this paper we consider a solution within the context of a widely-used testbed for RL, that of RoboCup Keepaway soccer. We introduce Argumentation-Based RL (ABRL), using methods from argumentation theory to integrate domain know...
متن کاملReinforcement Learning applied to Keepaway, a RoboCup-Soccer Subtask
This Bachelor Final Project aims to be a demonstration of the power and usefulness of reinforcement learning, especially for RoboCup-Soccer. In the first part general theories behind reinforcement learning are described. Different kinds of basic solving methods are compared; Value iteration, Policy iteration, Monte Carlo methods, Sarsa and Q-Learning. Eligibility traces are added to the basic m...
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RoboCup Keepaway, originated from the RoboCup soccer simulation 2D challenge, has been widely used as a machine learning benchmark. In this paper, we present a concurrent hierarchical reinforcement learning approach to RoboCup Keepaway. Following the idea of hierarchies of abstract machines (HAMs), we write a partial policy as a HAM from the perspective of a single keeper, run multiple instance...
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Multi-Agent Learning (MAL) is a complex problem, especially in real-time systems where both cooperative and competitive learning are involved. We study this problem in the RoboCup Soccer KeepawayTakeaway game and propose Argumentation Accelerated Reinforcement Learning (AARL) for this game. AARL incorporates heuristics, represented by arguments in Value-Based Argumentation, into Reinforcement L...
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ژورنال
عنوان ژورنال: Adaptive Behavior
سال: 2005
ISSN: 1059-7123,1741-2633
DOI: 10.1177/105971230501300301