Scholar

Reginald Mclean

Google Scholar ID: gBBveasAAAAJ

PhD Student, Toronto Metropolitan University

reinforcement learning

Citations & Impact

All-time

Citations

H-index

i10-index

Publications

Co-authors

list available

Contact

Resume

Academic Achievements

Publications:
1. Meta-World+: An Improved, Standardized, RL Benchmark
2. Multi-Task Reinforcement Learning Enables Parameter Scaling
3. Overcoming State and Action Space Disparities in Multi-Domain, Multi-Task Reinforcement Learning
Awards:
- Outstanding Paper on Scientific Understanding in Reinforcement Learning Conference 2025

Research Experience

Currently a part-time lecturer in the Computer Science Department at Brock University; was an intern at Royal Bank of Canada working on supporting their technical infrastructure using AIOps methods; upon completion of MSc, was the Lead Machine Learning Developer at Castle Ridge Asset Management.

Education

Currently a 5th year PhD Candidate at Toronto Metropolitan University, supervised by Nariman Farsad and Isaac Woungang; previously completed MSc in Computer Science at Brock University under the supervision of Beatrice Ombuki-Berman; received BSc in Computer Science from Trent University.

Background

Research interests include deep reinforcement learning, multi-task reinforcement learning, continual/lifelong reinforcement learning, inverse reinforcement learning, and intrinsic motivation for reinforcement learning. Additionally, interested in generative modeling, self-supervised learning, and vision-language models.

Co-authors

5 total