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blog.evjang.com | ||
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www.jeremykun.com
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| | | | | Graphs are among the most interesting and useful objects in mathematics. Any situation or idea that can be described by objects with connections is a graph, and one of the most prominent examples of a real-world graph that one can come up with is a social network. Recall, if you aren't already familiar with this blog's gentle introduction to graphs, that a graph $ G$ is defined by a set of vertices $ V$, and a set of edges $ E$, each of which connects two vertices. | |
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www.exxactcorp.com
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| | | | | [AI summary] The text provides an in-depth overview of Deep Reinforcement Learning (DRL), focusing on its key components, challenges, and applications. It explains how DRL combines reinforcement learning (RL) with deep learning to handle complex decision-making tasks. The article discusses the limitations of traditional Q-learning, such as the need for a Q-table and the issue of unstable target values. It introduces Deep Q-Networks (DQNs) as a solution, highlighting the use of experience replay and target networks to stabilize training. Additionally, the text highlights real-world applications like AlphaGo, Atari game playing, and oil and gas industry use cases. It concludes by emphasizing DRL's potential for scalable, human-compatible AI systems and its rol... | |
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blog.skz.dev
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| | | | | An explanation of arbitrage and a look at an efficient algorithm to find riskless instantaneous arbitrage opportunities. | |
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dennybritz.com
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| | | All the code is also available as an Jupyter notebook on Github. | ||
