Deep RL Workshop, 2024
Venue: Kresit classroom SIC 201
Lectures Completed
Host: Harshad Khadilkar
harshadk@iitb.ac.in
Office: New CSE Bldg, 207
Sign-up sheet: Click here
Lecture Resources (2024 version)
0) Consolidated references and workshop storyline
Consolidated summary of Deep RL Workshop lectures -- Download: Document
1) Connecting RL theory to Deep RL via value-based methods
March 06, 2024
Basics of RL, connection to control theory, tabular RL, simple DQN -- Download: Documents, Video recording
2) Stabilisation of value-based methods, exploration-exploitation
March 13, 2024
Target networks, Prioritised replay, Hindsight replay, Rainbow, Directed exploration -- Download: Documents, Video recording
3) Policy gradient and actor-critics in Deep RL
March 20, 2024
Policy gradients, REINFORCE, A2C, A3C, DDPG, SAC -- Download: Documents, Video recording
5) Model based methods and Neural MCTS
April 03, 2024
Model based Deep RL, Dream to Control, Alpha Go, Modern chess engines (guest talk) -- Download: Documents, Video recording
6) Latest literature in Deep RL
April 10, 2024
RL as sequence prediction, RL for static optimisation, Multi-Agent RL, Reward shaping -- Download: Documents, Video recording