Literature Introduction
From Robin
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(Ny side: Here are some links to websites and papers where you can learn about some of the topics that I supervise master theses within. Note that you should '''not''' read up on all these topics. Bu…) |
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[https://gym.openai.com/ OpenAI Gym] | [https://gym.openai.com/ OpenAI Gym] | ||
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+ | [https://arxiv.org/abs/1809.02627 An overview of some common test environments for RL (see chapter 3)] | ||
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+ | [https://arxiv.org/pdf/1908.06976.pdf Intrinsic Motivation in RL] | ||
== Evolutionary Algorithms (and some related concepts) == | == Evolutionary Algorithms (and some related concepts) == |
Current revision as of 12:01, 16 June 2021
Here are some links to websites and papers where you can learn about some of the topics that I supervise master theses within. Note that you should not read up on all these topics. But if any of the topics below are central to your thesis, the links may give you a good place to start looking for knowledge.
Contents |
Reinforcement Learning
An overview of some common test environments for RL (see chapter 3)
Evolutionary Algorithms (and some related concepts)
DEAP (user-friendly EA Python framework)
Quality Diversity Algorithms
Evolving the behavior of machines: from micro to macroevolution
Open-Ended Evolution
An Overview of Open-Ended Evolution