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Reinforcement learning - Wikipedia
https://en.wikipedia.org/wiki/Reinforcement_learning
WebReinforcement 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.
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What is reinforcement learning? | IBM
https://www.ibm.com/topics/reinforcement-learning
WebTrain, validate, tune and deploy AI models to help you scale and accelerate the impact of AI with trusted data across your business. In reinforcement learning, an agent learns to make decisions by interacting with an environment. It is used in robotics and other decision-making settings.
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What is Reinforcement Learning? - Reinforcement Learning …
https://aws.amazon.com/what-is/reinforcement-learning/
WebRL is a powerful method to help artificial intelligence (AI) systems achieve optimal outcomes in unseen environments. What are the benefits of reinforcement learning? There are many benefits to using reinforcement learning (RL). However, these three often stand out. Excels in complex environments.
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What is reinforcement learning? - IBM Developer
https://developer.ibm.com/learningpaths/get-started-automated-ai-for-decision-making-api/what-is-automated-ai-for-decision-making
WebSep 15, 2022 · Reinforcement learning is a learning paradigm that learns to optimize sequential decisions, which are decisions that are taken recurrently across time steps, for example, daily stock replenishment decisions taken in inventory control. At a high level, reinforcement learning mimics how we, as humans, learn.
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Pearl - A Production-ready Reinforcement Learning AI Agent Library
https://github.com/facebookresearch/Pearl
WebOverview. Pearl is a new production-ready Reinforcement Learning AI agent library open-sourced by the Applied Reinforcement Learning team at Meta. Furthering our efforts on open AI innovation, Pearl enables researchers and practitioners to develop Reinforcement Learning AI agents.
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An Introduction to Deep Reinforcement Learning - Hugging Face
https://huggingface.co/blog/deep-rl-intro
WebMay 4, 2022 · Welcome to the most fascinating topic in Artificial Intelligence: Deep Reinforcement Learning. Deep RL is a type of Machine Learning where an agent learns how to behave in an environment by performing actions and seeing the results. Since 2013 and the Deep Q-Learning paper, we’ve seen a lot of breakthroughs.
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What Is Reinforcement Learning? (Definition, Uses) | Built In
https://builtin.com/artificial-intelligence/reinforcement-learning
WebAug 31, 2023 · Reinforcement learning improves the artificial intelligence used to control non-player characters in video games. Applying reinforcement learning, AI characters can adopt different offensive and defensive tactics and figure out new ways to navigate the game’s landscape.
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What is reinforcement learning? How AI trains itself
https://venturebeat.com/ai/what-is-reinforcement-learning-how-ai-trains-itself/
WebSep 5, 2022 · Reinforcement learning is the process by which a machine learning algorithm, robot, etc. can be programmed to respond to complex, real-time and real-world environments to optimally reach a...
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Welcome to the Deep Reinforcement Learning Course - Hugging …
https://huggingface.co/learn/deep-rl-course/unit0/introduction
WebWelcome to the 🤗 Deep Reinforcement Learning Course - Hugging Face Deep RL Course. Join the Hugging Face community. and get access to the augmented documentation experience. Collaborate on models, datasets and Spaces. Faster examples with accelerated inference. Switch between documentation themes. Sign Up. to get started. 500. Not …
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Spinning Up in Deep RL - OpenAI
https://openai.com/research/spinning-up-in-deep-rl
WebNov 8, 2018 · Take your first steps. Reinforcement learning, Open source, Community, Release. At OpenAI, we believe that deep learning generally—and deep reinforcement learning specifically—will play central roles in the development of powerful AI technology.
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