Deep Learning in a Nutshell: Reinforcement Learning – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-26T22:01:23Z http://www.open-lab.net/blog/feed/ Tim Dettmers <![CDATA[Deep Learning in a Nutshell: Reinforcement Learning]]> http://www.open-lab.net/blog/parallelforall/?p=7124 2022-08-21T23:37:57Z 2016-09-08T10:45:04Z This post is Part 4 of the Deep Learning in a Nutshell series, in which I��ll dive into reinforcement learning, a type of machine learning in which agents take...]]> This post is Part 4 of the Deep Learning in a Nutshell series, in which I��ll dive into reinforcement learning, a type of machine learning in which agents take...Figure 1: Value iteration constructs the value function over all states over time. Here each square is a state: S is the start state, G the goal state, T squares are traps, and black squares cannot be entered. In value iteration we initialize the rewards (traps and goal state) and then these reward values spread over time until an equilibrium is reached. Depending on the penalty value on traps and the reward value for the goal different solution patterns might emerge; the last two grids show such solution states.

This post is Part 4 of the Deep Learning in a Nutshell series, in which I��ll dive into reinforcement learning, a type of machine learning in which agents take actions in an environment aimed at maximizing their cumulative reward. Deep Learning in a Nutshell posts offer a high-level overview of essential concepts in deep learning. The posts aim to provide an understanding of each concept rather��

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