Reinforcement learning is a subset of machine learning. It enables an agent to learn through the consequences of actions in a specific environment. It can be used to teach a robot new tricks, for example. Reinforcement learning is a behavioral learning model where the algorithm provides data analysis feedback, directing the user to the best result.
What The Hell Is Reinforcement Learning And How Does It Work?
Jair Ribeiro, The Next Web
Tue, 10/27/2020 - 3:49am
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04/24/2024 - 6:30 am | View Link - Deep Reinforcement Learning: Applications and Future Directions
Deep reinforcement learning (DRL) integrates the reinforcement learning's decision-making ability and deep learning's feature representation ability to attain robust end-to-end learning control ...
04/23/2024 - 5:38 am | View Link - Using sim-to-real reinforcement learning to train robots to do simple tasks in broad environments
A team of roboticists at the University of California, Berkeley, reports that it is possible to train robots to do relatively simple tasks by using sim-to-real reinforcement learning to train them. In ...
04/18/2024 - 2:09 am | View Link - More
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