I am a fourth-year undergraduate student at the University of California, Berkeley, pursuing a degree in Electrical Engineering and Computer Sciences.
I currently work in Prof. Sergey Levine's lab as an undergraduate researcher, working on model-based reinforcement learning together with my mentors Roberto Calandra and Rowan McAllister.
My interests include reinforcement learning, machine learning, as well as pure mathematics.
I will be TAing once again for EECS 126, an upper-division course on probability and random processes, this upcoming spring semester!
You may reach me at kchua (at) berkeley (dot) edu.
- Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models.
arXiv | website | code
Kurtland Chua, Roberto Calandra, Rowan McAllister, Sergey Levine.
Neural Information Processing Systems (NeurIPS) Conference 2018 (Spotlight presentation, ~4% of accepted papers).
ICML 2018 Workshop on Planning and Learning (Oral presentation).
ICML 2018 Workshop on Prediction and Generative Modeling in Reinforcement Learning.
- “Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models.” Bay Area Machine Learning Symposium (Baylearn). October 2018.
- NVIDIA Pioneer Award (2018). Awarded for Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models at NeurIPS 2018.
- Phi Beta Kappa Honors Society (2018). Inducted as a junior.
- Dean’s Honors List for Fall ‘15, Spring ‘16, Fall ‘16, Spring ‘17, Spring ‘18.
- Quantedge Award for Academic Excellence (2018). Awarded to students of senior standing with a 4.0 GPA.
- Kraft Award for Freshmen (2015). Awarded to students who earn a 4.0 GPA during their first semester at UC Berkeley.