Stanford CS234: Reinforcement Learning

Descriptions

• Source: Stanford University (Emma Brunskill)
• Prerequisites: ML basics, Python, probability
• Programming Language: Python
• Difficulty: 🌟🌟🌟🌟
• Class Hour: 50+

Stanford CS234 is Stanford's RL course, taught by Professor Emma Brunskill. Covers core RL algorithms and theory.

Resources

• Website: web.stanford.edu/class/cs234
• Lectures: YouTube

Content

• MDPs and Planning
• Value Function Methods (DQN)
• Policy Gradient Methods (REINFORCE, PPO)
• Model-Based Methods
• Exploration and Exploitation
• Inverse RL and RLHF

Tips

Do all programming assignments.

Notes

CS234 is an excellent advanced RL course. Best choice for deep study of RL theory and algorithms.