Eric Graves
PhD Candidate
Edmonton, Alberta, Canada
Summary
👤
Senior🎓
Top SchoolEric Graves is a PhD candidate in reinforcement learning at the University of Alberta with 11 years of software engineering experience building production systems and research-grade ML. He combines deep research focus on off-policy learning, representation learning, and policy gradients with a pragmatic engineering background that includes real-time fraud detection for online poker and large-scale game tooling. Eric has shipped backend and frontend systems across distributed teams in Edmonton and London and previously maintained campus-scale Linux/Windows environments, demonstrating both product delivery and operational fluency. Comfortable moving between experimental RL research and production constraints, he brings a rare blend of academic rigor and hands-on systems design informed by a long history of shipping reliable, integrity-critical software.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Reinforcement Learning, Doctor of Philosophy - PhD, Reinforcement Learning at University of Alberta
Github Skills (5)
actor-critic9
actor8
machine-learning6
python6
reinforcement-learning3
Programming languages (4)
Github contributions (5)
gravesec/actor-critic-with-emphatic-weightings
Mar 2019 - Sep 2021
Experiment code for our project on actor-critic algorithms with emphatic weightings.
Contributions:1 release, 246 commits, 13 PRs in 2 years 6 months
pythonactor-criticmachine-learningactorcritic
gravesec/gravesec.github.io
Apr 2015 - Oct 2017
Contributions:7 pushes, 2 branches in 2 years 5 months
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