⚙️ Phase 5 — Advanced Topics

Explore advanced and hybrid RL paradigms.

Topics

• Model-Based RL (Dyna-Q, World Models)
• Hierarchical RL (Options Framework)
• Multi-Agent RL (Cooperative / Competitive)
• Meta-RL and Few-Shot Adaptation
• Offline RL and Imitation Learning
• RLHF (Reinforcement Learning from Human Feedback)

Mini Projects

• MuJoCo Hopper-v4 (Model-Based RL)
• Cooperative MARL Simulation
• Mini RLHF Text Summarizer

📁 Source folder:
05-Advanced