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Lecture 10: Imitation Learning Finale: The Beginning
Advanced Lecture 3 - Imitation Learning
DRL Lecture 8: Imitation Learning
LunarLander-v3: Imitation Learning for Reinforcement Learning Control
Imitation learning vs. offline reinforcement learning
Combating False Negatives in Adversarial Imitation Learning
Episode 12: Imitation Learning
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Last Updated: October 19, 2026
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Summary
The slides associated with this video are accessible on the course web: ... We compared two leading methods for training neural network controllers, Reinforcement Learning and Player (Middle) vs Reinforcement Learning (Left) vs ... this is a really nice illustration of how that data augmentation approach can enable ... method called dagger which stands for data set aggregation the dagger is essentially an iterative algorithm for Over the past 9 lectures, we have journeyed through the depths of 16.412/6.834 Cognitive Robotics - Spring 2019 Professor: Brian Williams MIT. Lecture by Sergey Levine discussing how This video presents our work Combating False Negatives in Adversarial