Reinforcement Learning Algorithms: Survey and Classification
نویسندگان
چکیده
منابع مشابه
Universal Reinforcement Learning Algorithms: Survey and Experiments
Many state-of-the-art reinforcement learning (RL) algorithms typically assume that the environment is an ergodic Markov Decision Process (MDP). In contrast, the field of universal reinforcement learning (URL) is concerned with algorithms that make as few assumptions as possible about the environment. The universal Bayesian agent AIXI and a family of related URL algorithms have been developed in...
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In recent years, researches on reinforcement learning (RL) have focused on bridging the gap between adaptive optimal control and bio-inspired learning techniques. Neural network reinforcement learning (NNRL) is among the most popular algorithms in the RL framework. The advantage of using neural networks enables the RL to search for optimal policies more efficiently in several real-life applicat...
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ژورنال
عنوان ژورنال: Indian Journal of Science and Technology
سال: 2017
ISSN: 0974-5645,0974-6846
DOI: 10.17485/ijst/2017/v10i1/109385