Deep Reinforcement Learning

Information

• Instructor: Zhi Wang

• Time: 14:00-17:00pm, Monday

• Location: 201 Yifu Building, Nanjing University at Gulou Campus

Announcements

• Feb. 17th, 2025   |   For final project presentation: paper list

• Feb. 17th, 2025   |   Teaching Assitant: Li Zhang (Email: lizhang@smail.nju.edu.cn)

Lecture Slides

• 2024.02.17   |   Lecture 1: Introduction to Reinforcement Learning

• 2024.02.24   |   Lecture 2: Preliminaries of Machine Learning

• 2024.03.03   |   Lecture 3: Dynamic Programming

• 2024.03.10   |   Lecture 4: Monte-Carlo Methods and Temporal-Difference Learning

• 2024.03.17   |   Lecture 5: Introduction to Deep Reinforcement Learning

• 2024.03.24   |   Lecture 6: Policy Gradient

• 2024.03.31   |   Lecture 7: Advanced Policy Gradient

• 2024.04.07   |   Lecture 8: Actor-Critic Algorithms

• 2024.04.14   |   Lecture 9: Value Function Methods

• 2024.04.21   |   Lecture 10: Deep Q-learning

• 2024.04.28   |   Lecture 11: Offline Reinforcement Learning

• 2024.05.05   |   Lecture 12: Multi-Task and Meta Reinforcement Learning

• 2024.05.12   |   Lecture 13: Large Language Models and RL

• 2024.05.19   |   Lecture 14: Presentation - Part I

• 2023.05.26   |   Lecture 15: Presentation - Part II

• 2023.06.02   |   Lecture 16: Presentation - Part III

Note: References for lecture slides

• Richard S. Sutton and Andrew G. Barto, Reinforcement Learning: An Introduction, 2nd Edition

• Sergey Levine, CS285 at UC Berkeley, Deep Reinforcement Learning