Lecture Slides on RL (slides)

• Guest Lecture at CS5304 (Data Science in the Wild), Cornell Tech, Spring 2019

• TA Lecture at ESE 680 (Learning in Robotics), UPenn, Spring 2018

• Joint Guest Lecture with Steven Chen at CIS520 (Machine Learning), UPenn, Fall 2017

Reinforcement Learning Exercise 

(MDP, Policy Iteration, Monte Carlo method, Q-learning)

• Description (pdf,  source code (MATLAB))

• Solution (release on: ) 

Course Reports

• CIS 700 :

  • Final Project : Deep Reinforcement Learning for Dialogue Generation with Hierarchical Recurrent Encoder Decoder (slides)

• ESE 650 : Learning in Robotics

• PSYC 739 : Probabilistic Models of Perception & Cognition

  • Final Project : Full Bayesian Model and Reduced Bayesian Delta-Rule Model Explaining the Dynamics of Belief Updating in a Changing Environment (pdf)

​