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Teaching |
I'm teaching an RL short course, based on materials in Sutton and Barto (2018), Puterman (2014), DeepMind & UCL RL lecture series and some research papers.
- Lecture 1 Foundations of RL
- Lecture 2 Planning & Learning
- Lecture 3 Q-Learning and Beyond
- Lecture 4 Policy- and Model-based Learning
- Lecture 5 Offline RL
Teaching @ LSE
- MT 2019 -- MT 2021: Managing and Visualising Data (ST445)
- LT 2022: Reinforcement Learning (ST455)
- MT 2020 -- LT 2021: Probability, Distribution Theory and Inference (ST202)
- LT 2021 -- LT 2022: Foundations of Machine Learning (ST510)
TA @ NCSU
- Fall 2014: Experimental Statistics for Biological Science (ST511)
- Spring 2015: Experimental Statistics for Biological Science (ST511)
- Fall 2018: Experimental Statistics for Engineers (ST515)
- Spring 2019: Experimental Statistics for Engineers (ST515)
TA @ ZJU
- Spring 2014: Financial Risk Management