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Credit Assignment in Rule Discovery Systems Based on Genetic Algorithms
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Knowledge Growth in an Artificial Animal
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LEARNING BY EXPERIMENTATION: ACQUIRING AND REFINING PROBLEM-SOLVING HEURISTICS
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Generalization learning techniques for automating the learning of heuristics
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Machine learning: An artificial intelligence approach
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Machine learning: An artificial intelligence approach
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COGNITIVE SYSTEMS BASED ON ADAPTIVE ALGORITHMS11Research reported in this paper was supported in part by the National Science Foundation under grant DCR 71-01997 and by the Horace H. Rackham School of Graduate Studies under grant 387156.
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Pattern-Directed Inference Systems
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Explanation-Based Generalization: A Unifying View
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Steps toward Artificial Intelligence
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Induction: Processes of Inference, Learning, and Discovery
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Optimization of Control Parameters for Genetic Algorithms
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Cognitive systems based on adaptive algorithms
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Learning from Solution Paths: An Approach to the Credit Assignment Problem
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Genetic Algorithms and their Applications
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Proceedings of the First International Conference on Genetic Algorithms and their Applications
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An Analysis Of The Behavior Of A Class Of Genetic Adaptive Systems.
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Adaptation in Natural and Artificial Systems
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Reinforcement Learning of Agent with a Staged View in Distance and Direction for the Pursuit Problem
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A study on multi-agent reinforcement learning problem based on hierarchical modular fuzzy model
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Transitioning expert system technology: case studies at the Navy Center for applied research in artificial intelligence
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An Improved Slime Mould Algorithm with Quasi Reflection-based Learning for Global Optimization Problems
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Swarm learning in restricted environments: an examination of semi-stochastic action selection
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A study on fall-prevention system for older adults with communication robot
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Cooperative behavior acquisition of multiple autonomous mobile robots by an objective-based reinforcement learning system
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IDEAL: Interactive design environment for agent system with learning mechanism
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On the rationality of profit sharing in multi-agent reinforcement learning
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On the rationality of profit sharing in multi-agent reinforcement learning
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A problem solving environment that assists model development for reinforcement learning algorithms
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Competition and mutualism in a simulation of adaptive artificial organisms
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Q-PSP learning: an exploitation-oriented Q-learning algorithm and its applications
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A study on evolutionary synthesis of classifier system architectures
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Propagating learned behaviors from a virtual agent to a physical robot in reinforcement learning
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Multiagent reinforcement learning with organizational-learning oriented classifier system
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Design environment of intelligent multiagent systems
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Multi-agent reinforcement learning for planning and scheduling multiple goals
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Adaptive Profit Sharing Reinforcement Learning Method for Dynamic Environment
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A Proposal for Reducing the Number of Trial-and-Error Searches for Deep Q-Networks Combined with Exploitation-Oriented Learning
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Multi-agent learning methods in an uncertain environment
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Reinforcement learning method based on semi autonomous agent in combatant searching safe blindage
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Finding shortcuts from episode in multi-agent reinforcement learning
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Certainty and expertness-based credit assignment for cooperative Q-Learning agents with an AND-type task
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Improved learning in genetic rule-based classifier systems
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Learning to control dynamical systems
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Good solutions will emerge without a global objective function: applying organizational-learning oriented classifier system to printed circuit board design
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A pursuit simulation using a time-dependent classifier system; TCS
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Fault tolerance in a multiple robots organization based on an organizational learning model
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Proposal for an algorithm to improve a rational policy in POMDPs
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Agent-based model toward organizational computing: from organizational learning to genetics-based machine learning
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Convergence of the Q-ae learning under deterministic MDPs and its efficiency under the stochastic environment
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A new approach to credit assignment in a team of cooperative Q-learning agents
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Using suitable action selection rule in reinforcement learning
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Hierarchical reinforcement learning using a modular fuzzy model for multi-agent problem
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Reinforcement learning based on modular fuzzy model with gating unit
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Generation of roles in reinforcement learning considering redistribution of reward between agents
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Profit sharing that can learn deterministic policy for POMDPs environments
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Mathematical Model and Solution Approach for Berth Allocation Problem in Tidal Bulk Ports with Different Vessel Draft Requirements
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Which organizational knowledge is useful: rare, medium, or well-done?-Comparison of different levels of organizational knowledge in multiagent environments
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Deep Reinforcement Learning with Dual Targeting Algorithm
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Realtime reinforcement learning for a real robot in the real environment
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Multi-agent reinforcement learning for crane control problem: designing rewards for conflict resolution
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Sequential Node Attack of Complex Networks Based on Q-Learning Method
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Hierarchical modular reinforcement learning method and knowledge acquisition of state-action rule for multi-target problem
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An adaptive learning method of personality trait based mood in Mental State Transition Network by recurrent neural network
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