How Long to Read Transfer Learning for Multiagent Reinforcement Learning Systems

How Long Does it Take to Read Transfer Learning for Multiagent Reinforcement Learning Systems?

It takes the average reader 1 hour and 51 minutes to read Transfer Learning for Multiagent Reinforcement Learning Systems by Felipe Felipe Leno da Silva

Assuming a reading speed of 250 words per minute. Learn more

Description

Learning to solve sequential decision-making tasks is difficult. Humans take years exploring the environment essentially in a random way until they are able to reason, solve difficult tasks, and collaborate with other humans towards a common goal. Artificial Intelligent agents are like humans in this aspect. Reinforcement Learning (RL) is a well-known technique to train autonomous agents through interactions with the environment. Unfortunately, the learning process has a high sample complexity to infer an effective actuation policy, especially when multiple agents are simultaneously actuating in the environment. However, previous knowledge can be leveraged to accelerate learning and enable solving harder tasks. In the same way humans build skills and reuse them by relating different tasks, RL agents might reuse knowledge from previously solved tasks and from the exchange of knowledge with other agents in the environment. In fact, virtually all of the most challenging tasks currently solved by RL rely on embedded knowledge reuse techniques, such as Imitation Learning, Learning from Demonstration, and Curriculum Learning. This book surveys the literature on knowledge reuse in multiagent RL. The authors define a unifying taxonomy of state-of-the-art solutions for reusing knowledge, providing a comprehensive discussion of recent progress in the area. In this book, readers will find a comprehensive discussion of the many ways in which knowledge can be reused in multiagent sequential decision-making tasks, as well as in which scenarios each of the approaches is more efficient. The authors also provide their view of the current low-hanging fruit developments of the area, as well as the still-open big questions that could result in breakthrough developments. Finally, the book provides resources to researchers who intend to join this area or leverage those techniques, including a list of conferences, journals, and implementation tools. This book will be useful for a wide audience; and will hopefully promote new dialogues across communities and novel developments in the area.

How long is Transfer Learning for Multiagent Reinforcement Learning Systems?

Transfer Learning for Multiagent Reinforcement Learning Systems by Felipe Felipe Leno da Silva is 111 pages long, and a total of 27,861 words.

This makes it 37% the length of the average book. It also has 34% more words than the average book.

How Long Does it Take to Read Transfer Learning for Multiagent Reinforcement Learning Systems Aloud?

The average oral reading speed is 183 words per minute. This means it takes 2 hours and 32 minutes to read Transfer Learning for Multiagent Reinforcement Learning Systems aloud.

What Reading Level is Transfer Learning for Multiagent Reinforcement Learning Systems?

Transfer Learning for Multiagent Reinforcement Learning Systems is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Transfer Learning for Multiagent Reinforcement Learning Systems?

Transfer Learning for Multiagent Reinforcement Learning Systems by Felipe Felipe Leno da Silva is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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