Name		Name	Last commit message	Last commit date
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Common Use Cases for Reinforcement Learning in Python.md		Common Use Cases for Reinforcement Learning in Python.md
Exploring the Supervised, Unsupervised, and Reinforcement Learning Techniques in Machine Learning.md		Exploring the Supervised, Unsupervised, and Reinforcement Learning Techniques in Machine Learning.md
Model-Based Reinforcement Learning with Python.md		Model-Based Reinforcement Learning with Python.md
README.md		README.md
Reinforcement Learning and Q-Learning Mathematical Foundations and Python Implementation.md		Reinforcement Learning and Q-Learning Mathematical Foundations and Python Implementation.md
Reinforcement Learning for Sequential Decision-Making.md		Reinforcement Learning for Sequential Decision-Making.md
Reinforcement Learning from Human Feedback in Python.md		Reinforcement Learning from Human Feedback in Python.md
Reinforcement Learning with Python Code Examples.md		Reinforcement Learning with Python Code Examples.md
Reinforcement Learning with Python.md		Reinforcement Learning with Python.md
Transfer Learning, Low-Rank Adaptation, and Reward Modeling in Python.md		Transfer Learning, Low-Rank Adaptation, and Reward Modeling in Python.md

README.md

Reinforcement Learning

9 articles on reinforcement learning — fundamentals, Q-learning, policy gradients, and human feedback.

Part of the xbe.at knowledge base. ← Back to index

What's inside

Fundamentals — RL concepts, rewards, environments, agents, episodes
Q-Learning — mathematical foundations and Python implementation
Model-based RL — planning and world models
Policy methods — sequential decision-making, policy gradient approaches
RLHF — reinforcement learning from human feedback (applied to LLMs)
Transfer learning in RL — Low-Rank Adaptation and reward modeling
Use cases — common industry applications of RL in Python
Taxonomy — RL in the broader supervised/unsupervised/RL landscape

Highlights

Reinforcement Learning and Q-Learning: Mathematical Foundations and Python Implementation
Reinforcement Learning from Human Feedback in Python
Model-Based Reinforcement Learning with Python
Transfer Learning, Low-Rank Adaptation, and Reward Modeling in Python