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1
Introduction
2
Lifelong Learning
3
Challenges
4
Minecraft
5
Skill Hierarchy
6
DQ Networks
7
Skills
8
HDRLN
9
Deep Skill Module
10
Multiple Skill Module
11
State
12
Domain
13
Tomb Domain
14
Complex Domain
15
Results
16
Usage of Skills
17
Conclusion
18
Contributions
Description:
Explore the concept of lifelong learning in artificial intelligence through the lens of Minecraft in this 21-minute conference talk presented by Yetian Wang. Delve into the challenges of implementing lifelong learning systems and discover how Minecraft serves as an ideal testbed for developing and evaluating these techniques. Learn about skill hierarchies, DQ Networks, and Deep Skill Modules as key components in creating adaptable AI agents. Examine the application of these concepts across various domains, from simple state spaces to complex environments. Gain insights into the practical usage of skills and the significant contributions this research makes to the field of AI and machine learning.

Lifelong Learning in Minecraft

Pascal Poupart
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