CV
General Information
| Full Name | Stephen Chung |
| Languages | English, Cantonese, Mandarin |
Education
-
2022 - Now PhD in Engineering
University of Cambridge, Cambridge, UK -
2019 - 2021 MS in Computer Science
University of Massachusetts Amherst, US -
2012 - 2016 BS in Quantitative Finance
University of Hong Kong, Hong Kong
Research Experience
-
2022 - Now Learning to Plan and Act (Supervisor - David Krueger)
University of Cambridge, Cambridge, UK - Investigated methods to train reinforcement learning agents to learn how to plan.
- Studied methods to interpret the plans of reinforcement learning agents for detecting misaligned behaviour.
-
2020 - 2022 Training Neural Networks by Reinforcement Learning (Supervisor - Andrew Barto)
University of Massachusetts Amherst, US - Investigated methods to train a deep artificial neural network without backpropagation based on reinforcement learning.
- Proposed algorithms that can train a deep neural network to solve reinforcement learning tasks efficiently without any backpropagation.
-
2020 - 2022 Turing Completeness of Recurrent Neural Networks (Supervisor - Hava Siegelmann)
University of Massachusetts Amherst, US - Proposed new theorems and constructed proof on the Turing completeness of bounded-precision recurrent neural networks.
Academic Interests
-
Reinforcement learning
- Model-based RL, multi-agent RL, and hierarchical RL
-
Biologically-inspired machine learning
- Spiking neural networks and biologically-inspired learning rules
-
AI alignment
- Interpretability and detecting misaligned behaviour
Other Interests
- Hobbies: Tennis, Reading, Poker, Soul-like and survival games