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See all on WikipediaReinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent ought to take actions in a dynamic environment in order to maximize the cumulative reward. Reinforcement learning is one of three basic machine learning … See more
Due to its generality, reinforcement learning is studied in many disciplines, such as game theory, control theory, operations research See more
Even if the issue of exploration is disregarded and even if the state was observable (assumed hereafter), the problem remains to use past experience to find out which … See more
Research topics include:
• actor-critic architecture
• actor-critic-scenery architecture
• adaptive methods that work with fewer (or no) parameters under a large number of conditions See moreThe exploration vs. exploitation trade-off has been most thoroughly studied through the multi-armed bandit problem and for finite state space Markov decision processes in … See more
Both the asymptotic and finite-sample behaviors of most algorithms are well understood. Algorithms with provably good online performance (addressing the exploration issue) are known.
Efficient exploration of Markov decision processes is given … See moreAssociative reinforcement learning
Associative reinforcement learning tasks combine facets of stochastic learning automata tasks and … See moreWikipedia text under CC-BY-SA license WebIn reinforcement learning, an agent learns to make decisions by interacting with an environment. It is used in robotics and other decision-making settings. Reinforcement …
Learn the essentials of reinforcement learning, a type of machine learning technique that enables an agent to learn in an interactive environment by tri…
- Published: Apr 19, 2019
- Estimated Reading Time: 7 mins
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Weberal directions. Reinforcement learning has gradually become one of the most active research areas in machine learning, arti cial intelligence, and neural net-work research. …
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WebLearn the concepts and skills of reinforcement learning (RL) from University of Alberta experts. Enroll in four courses and earn a career certificate to apply RL to real-world problems.
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