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.
📚 Theory + Hands on Projects + Challenges
⏰ Duration: ~35 hours
🏃♂️ Self Paced
Created by 👨🏫: Hugging Face
🔗 Course Link https://github.com/huggingface/deep-rl-class
#DeepReinforcementLearning #DeepLearning
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👉 Join @cscorner for more 👈
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.
📚 Theory + Hands on Projects + Challenges
⏰ Duration: ~35 hours
🏃♂️ Self Paced
Created by 👨🏫: Hugging Face
🔗 Course Link https://github.com/huggingface/deep-rl-class
#DeepReinforcementLearning #DeepLearning
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
👉 Join @cscorner for more 👈
GitHub
GitHub - huggingface/deep-rl-class: This repo contains the Hugging Face Deep Reinforcement Learning Course.
This repo contains the Hugging Face Deep Reinforcement Learning Course. - huggingface/deep-rl-class