Reinforcement Learning Course

Theoretical & Practical HWs

Sharif University of Technology

Spring 2023

• HW1:
  • Theoretical: MDP, Tabular Methods, Value Approximation
  • Practical: Q-learning & Sarsa Implementation
• HW2:
  • Theoretical: Policy Gradients Algorithms
  • Practical: PPO & DDPG Implementation
• HW3: Model Based & Bayesian Model Algorithms
  • Theoretical: Multi-Armed Bandit, LQR
  • Practical: Thompson Sampling & Monte-Carlo Tree Search Implementation
• HW4: Advanced Topics in RL
  • Theoretical: Soft Actor Critic, Offline RL, Inverse RL, Imitation Learning
  • Practical: SAC Implementation