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Brandon Behring
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1. DP/MPC Foundations
10. SSM World Models
11. Offline RL
12. Representation Learning
13. Safe RL + Control Theory
14. Max-Entropy / KL-Regularized Control
15. Implementation and Reproducibility
2. RL Foundations
3. Off-Policy Continuous Control
4. Model-Based RL
5. RL Robotics Successes
6. MPC-RL Convergence
7. MPC Solvers
8. Decision-Aware Learning
9. Adaptive Control
E-A. Multi-Agent RL (Elective)
E-C. Hierarchical RL (Elective)
E-D. Sim-to-Real (Elective Supplement)
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