Reinforcement Learning Course
This course teaches you practical reinforcement learning through hands-on implementation of Deep RL algorithms. It dives into Q-learning, policy gradients, and multi-agent systems with working code examples. And if you complete 80% of the Assignments you can get a certificate.
Prerequisite: Python and deep learning basics.
๐ Theory + Hands on Projects + Challenges
โฐ Duration: ~35 hours
๐โโ๏ธ Self Paced
Created by ๐จโ๐ซ: Hugging Face
๐ Course Link https://github.com/huggingface/deep-rl-class
#DeepReinforcementLearning #DeepLearning
โโโโโโโโโโโโโโ
๐ Join @SkillsUnlock for more ๐
This course teaches you practical reinforcement learning through hands-on implementation of Deep RL algorithms. It dives into Q-learning, policy gradients, and multi-agent systems with working code examples. And if you complete 80% of the Assignments you can get a certificate.
Prerequisite: Python and deep learning basics.
๐ Theory + Hands on Projects + Challenges
โฐ Duration: ~35 hours
๐โโ๏ธ Self Paced
Created by ๐จโ๐ซ: Hugging Face
๐ Course Link https://github.com/huggingface/deep-rl-class
#DeepReinforcementLearning #DeepLearning
โโโโโโโโโโโโโโ
๐ Join @SkillsUnlock for more ๐
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