Modular Reinforcement Learning Framework for Learners and Educators
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- Modular Reinforcement Learning Framework for Learners and Educators
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Reinforcement learning algorithms: A brief survey
Highlights- RL can be used to solve problems involving sequential decision-making.
- RL is based on trial-and-error learning through rewards and punishments.
- The ultimate goal of an RL agent is to maximize cumulative reward.
- RL agent tries ...
AbstractReinforcement Learning (RL) is a machine learning (ML) technique to learn sequential decision-making in complex problems. RL is inspired by trial-and-error based human/animal learning. It can learn an optimal policy autonomously with knowledge ...
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Association for Computing Machinery
New York, NY, United States
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