Scholar
Chase McDonald
Google Scholar ID: Mf0bSowAAAAJ
Carnegie Mellon University
Citations & Impact
Citations
39
H-index
4
i10-index
1
Publications
11
Co-authors
0
Contact
No contact links provided.
Resume (English only)
Academic Achievements
- Gave a spotlight talk at the AAAI Bridge Program on developing controllable reinforcement learning agents and evaluating human preferences for control in collaborative domains; presented at two AAAI symposia on work related to human-like credit assignment and using LLMs to learn from instructions; completed the Master’s in Machine Learning at Carnegie Mellon; received the Tata Consultancy Services Presidential Fellowship at Carnegie Mellon; involved in multiple research works such as CoGrid and Interactive Gym framework.
Research Experience
- A Research Scientist on Riot Games’ Game AI team, conducting applied research on multi-agent reinforcement learning.
Education
- Received an M.S. in Machine Learning from Carnegie Mellon University in December 2022; previously, earned a B.A. in Computational Social Science through the individual major program at UCLA.
Background
- Ph.D. student at Carnegie Mellon University in Cognitive Decision Science. Research interests include cooperative artificial intelligence and the design of human-compatible autonomous systems. Aims to design AI that complements human decision-making and improves human experiences.
Co-authors