Deep Reinforcement Learning Prof. Kuan-Ting Lai 2020/3/5 Course - PowerPoint PPT Presentation

Jul 09, 2023 •105 likes •210 views

Course Requirements of Deep Reinforcement Learning Prof. Kuan-Ting Lai 2020/3/5 Course Requirements Kaggle-style homework (60%) TBD VizDoom Microsoft AirSim Final Project (40%) Team members (1 ~ 4) Final report + Demo

Course Requirements of Deep Reinforcement Learning Prof. Kuan-Ting Lai 2020/3/5
Course Requirements • Kaggle-style homework (60%) − TBD − VizDoom − Microsoft AirSim • Final Project (40%) − Team members (1 ~ 4) − Final report + Demo + Source code • Attendance (5%) − Roll call − Answering questions 2
Textbooks & References • Maxim Lapan , “Deep Reinforcement Learning Hands - on,” Packt, 2018 • Richard S. Sutton and Andrew G. Barto, “Reinforcement Learning, An Introduction, 2 nd Edition” The MIT Press, 2018 • Latest publications on Nature, CVPR, NIPS, ICML, AAAI, ICLR https://github.com/PacktPublishing/Deep-Reinforcement-Learning-Hands-On 3
Schedule Date Syllabus 3/6 Introduction to Deep Reinforcement Learning (Sutton (2018), Chapter 1, 2) 3/13 Finite Markov Decision Processes and Dynamic Programming (Sutton (2018), Chapter 3, 4) HW1 TBD 3/20 PyTorch & OpenAI Gym (Lapan (2018), Chapter 2, 3) 3/27 Dynamic Programming & Monte Carlo Methods (Sutton (2018), Chapter 4, 5) 4/3 Temporal-Difference Learning (SARSA, Q-learning) (Sutton (2018), Chapter 6) HW2 TBD 4/10 Deep Q-Networks (Lapan (2018), Chapter 6, 7) 4/17 Policy Gradients (Lapan (2018), Chapter 9) 4/24 Actor-Critic Method (Lapan (2018), Chapter 10) HW3 Stocks Trading using RL 4
Schedule (cont.) Date 4/28 No Midterm, No Class 5/1 Final Project Proposal Due 5/8 A3C and A2C (Lapan (2018), Chapter 11 and OpenAI paper) 5/15 Continuous Action Space (Lapan (2018), Chapter 14) 5/22 Trust Regions – TRPO, PPO, and ACKTR (Lapan (2018), Chapter 15) HW4 Playing a Shooting Game (VizDoom) (Due 12/15) 5/29 Black-Box Optimization in RL ((Lapan (2018), Chapter 16) 6/5 Beyond Model-free (Lapan (2018), Chapter 17) 6/12 AlphaGo Zero (Lapan (2018), Chapter 18) 6/19 Final Project Demo 1 (20 mins, talk + demo, in English) 6/26 Final Project Demo 2 (20 mins, talk + demo, in English) 5
Grading Policy of Homework Kaggle Ranking Grade Description Grade Top 5% Excellent A+ 5% ~ 20% A 20 ~ 50% A- Others Very Good B+ < Random Guess C No submission F Top 3 students get one free cup of Bubble Tea! 6
7
Facebook Group (NTUT Deep RL Learning) 8
Teaching Assistants • 蔡榮成 : John Tsai (john0952270878@gmail.com) 9

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