PyTorch Masterclass: Part 5 – Reinforcement Learning with PyTorch
Duration: ~90 minutes
LINK: https://hackmd.io/@husseinsheikho/pytorch-5
https://xn--r1a.website/DataScienceM👾
Duration: ~90 minutes
LINK: https://hackmd.io/@husseinsheikho/pytorch-5
#PyTorch #ReinforcementLearning #RL #DeepRL #Qlearning #DQN #PPO #DDPG #MarkovDecisionProcesses #AI #MachineLearning #DeepLearning #ReinforcementLearning #PyTorchRL
https://xn--r1a.website/DataScienceM
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🔥 Trending Repository: ART
📝 Description: Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen2.5, Qwen3, Llama, and more!
🔗 Repository URL: https://github.com/OpenPipe/ART
🌐 Website: https://art.openpipe.ai
📖 Readme: https://github.com/OpenPipe/ART#readme
📊 Statistics:
🌟 Stars: 6K stars
👀 Watchers: 35
🍴 Forks: 380 forks
💻 Programming Languages: Python - Jupyter Notebook - Shell
🏷️ Related Topics:
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🧠 By: https://xn--r1a.website/DataScienceM
📝 Description: Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen2.5, Qwen3, Llama, and more!
🔗 Repository URL: https://github.com/OpenPipe/ART
🌐 Website: https://art.openpipe.ai
📖 Readme: https://github.com/OpenPipe/ART#readme
📊 Statistics:
🌟 Stars: 6K stars
👀 Watchers: 35
🍴 Forks: 380 forks
💻 Programming Languages: Python - Jupyter Notebook - Shell
🏷️ Related Topics:
#agent #reinforcement_learning #rl #lora #llms #qwen #kimi_ai #agentic_ai #grpo #qwen3
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🧠 By: https://xn--r1a.website/DataScienceM
📌 The Reinforcement Learning Handbook: A Guide to Foundational Questions
🗂 Category: REINFORCEMENT LEARNING
🕒 Date: 2025-11-06 | ⏱️ Read time: 19 min read
Dive into the fundamentals of Reinforcement Learning with this comprehensive handbook. The guide focuses on answering foundational questions and simplifying complex concepts, offering a clear path for professionals and enthusiasts looking to master this critical field of AI. It is an essential resource for anyone aiming to build a strong, practical understanding of RL from the ground up.
#ReinforcementLearning #AI #MachineLearning #RL
🗂 Category: REINFORCEMENT LEARNING
🕒 Date: 2025-11-06 | ⏱️ Read time: 19 min read
Dive into the fundamentals of Reinforcement Learning with this comprehensive handbook. The guide focuses on answering foundational questions and simplifying complex concepts, offering a clear path for professionals and enthusiasts looking to master this critical field of AI. It is an essential resource for anyone aiming to build a strong, practical understanding of RL from the ground up.
#ReinforcementLearning #AI #MachineLearning #RL