🌸🎉 Welcome to Ewha AI, Fall 2025 Incoming Students!

2025 Fall Semesters

Reinforcement Learning

• • Syllabus (Tentative)

  • Lecture 1 

  • Lecture 2-3: Imitation Learning 

  • Lecture 4: Intro_of_RL_concepts

  • Lecture 5: Policy Gradient part 1 (Video)

  • Lecture 5: Policy Gradient part 2 (Video)

  • Lecture 7: Off Policy Policy Gradient  (REINFORCE_with_TF_from_Scratch_Code)

  • Lecture 8: Actor-Critic Algorithm 

  • Lecture 9: Actor-Critic Algorithm Part 2

  • Lecture 10:Value based methods (policy iteration)

    • Video

  • Midterm Review (Video)
    ==============[Midterm]================

  • Lecture11-12: Q-learning (_Video)

  • Lecture 13: DQN

  • Lecture 14: Special Topic (Curiosity driven exploration, Deep Symbolic Policy)

  • Lecture 15: Continuous Q learning

  • lecture 16; offline-rl

  • Lecture 17: offline-RL 2 (video)

  • Lecture 18: Inverse RL

  • Lecture 19: Intrinsic Reward (Curiosity driven exploration)

Data Structure

• • Syllabus (Tentative)

  • Lecture 1

  • Lecture 2: Python_Basic

  • Lecture-3-Computational Complexity & Searching

  • Lecture-4-Array&LinkedList

  • Lecture-5Array&LinkedList-2 (Video)

  • Lecture6-Problem&Solution (Video: Part1, Part2)

  • 2024_10_07_Quiz1_instruction 

  • Lecture7 Stack and Queue  

    • Video, Homework Solution (Solution Video: Hw1, Hw2, Hw3, Hw4, Hw5, Queue-Hw1 Hw2 Hw3)

  • Lecture8. Tree (part1, part2, homework)

    • Video (Solution Video: HW1, HW2, HW3, HW4, HW5, HW6, HW7)

  • Lecture 9-10. Sorting Algorithm 1 (Video for 11/7 lecture)

  • Lecture 11: PQ and Heap

  • Lecture 12: Heap2 (Video)

  • Lecture 13: Problem Solving Session

  • Lecture 14: Hash table (video) (Homework Solution: leetcode_409, leetcode_41, leetcode_1, leetcode_349, leetcode_3)

  • Lecture 15: Graph