Computer Science Department

DS595 - Reinforcement Learning - Spring 2022

Version: Jan. 4th, 2022

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Project 1:

Project 1: Model-based RL methods

This project needs to be done individually!

Timeline:
Week 2 (1/26 W), Starting date
Week 4 (2/9 W), Due. (Upload it to Canvas)
Programming in Python.

Project description: git-hub link.

Project 2:

Project 2: Model-free RL methods

This project needs to be done individually!

Timeline:
Week 5 (2/16 W), Starting date
Week 7 (3/2 W), Due. (Upload it to Canvas)
Programming in Python.

Project description: git-hub link.

Project 3:

Project 3: Deep RL methods

This project needs to be done individually!

Timeline:
Week 7 (3/2 W), Starting date
Week 10 (3/23 W) extended to Week 11 (3/30 W), Due. (Upload it to Canvas).
Programming in Pytorch/Python.

Project description: git-hub link.

Project 4:

Project 4: Open Research Project (RL related)

See more details of the project from the git-hub link
This project needs to be done in groups!

Timeline:
Week 10 (3/23 W), Starting date
Week 11 (3/30 W), Proposal Due. (Upload it to Canvas)
Week 13 (4/13 W), Progressive report due (Upload it to Canvas discussion board)
Week 15 (4/25 M), Project report due. (Upload it to Canvas discussion board)
Week 15 (4/27 W), Project poster session. (On Zoom)

yli15 at wpi.edu