Hasty Briefsbeta

CS234: Reinforcement Learning Winter 2025

13 hours ago
  • #Course Outline
  • #Reinforcement Learning
  • #Academic Schedule
  • Introduction to Reinforcement Learning lecture on Week 1, Jan 6, 1:30pm-2:50pm.
  • Tabular MDP Planning lecture on Week 1, Jan 8, 1:30pm-2:50pm with Assignment 1 released.
  • Policy Evaluation lecture on Week 2, Jan 13, 1:30pm-2:50pm.
  • Q-Learning and Function Approximation lecture on Week 2, Jan 15, 1:30pm-2:50pm with Assignment 1 due and Assignment 2 released.
  • Policy Search 1 and 2 lectures on Week 3, Jan 20 and Jan 22, 1:30pm-2:50pm.
  • Policy Search 3 and Offline RL 1 / Imitation Learning lectures on Week 4, Jan 27 and Jan 29, 1:30pm-2:50pm with Assignment 2 due.
  • Offline RL 2 / DPO lecture and Midterm on Week 5, Feb 3 and Feb 5, with Assignment 3 released.
  • Offline RL 3 and Exploration 1 lectures on Week 6, Feb 10 and Feb 12, 1:30pm-2:50pm.
  • Exploration 2 and 3 lectures on Week 7, Feb 17 and Feb 19, 1:30pm-2:50pm with Assignment 3 due.
  • Exploration 4 lecture and Guest lecture on Week 8, Feb 24 and Feb 26, with Project Milestone due.
  • Monte Carlo Tree Search / AlphaGo lecture and Quiz on Week 9, Mar 3 and Mar 5, 1:30pm-2:50pm.
  • Guest Lecture and Wrap Up on Week 10, Mar 10, with Final Project Poster Session on Mar 12, 1:30pm-4:30pm.
  • Final Project Writeup due on Week 11, Mar 17 at 6pm.