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28min chapter
Dr. Brandon Rohrer - Robotics, Creativity and Intelligence
Machine Learning Street Talk (MLST)
Teleology and Reinforcement Learning
In this chapter, the speakers discuss the concept of teleology and its relationship with reinforcement learning. They explore different methods for aligning an agent's behavior with desired goals, such as constructing a reward function or using intrinsic motivation. The chapter also emphasizes the importance of curiosity and exploration in learning.
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