person
Marc G. Bellemare
Mila / McGill; Atari Learning Environment
Canada CIFAR AI Chair at Mila and McGill; co-author of the Atari Learning Environment (2013) that became the canonical RL benchmark, and of the Distributional RL framework.
current Canada CIFAR AI Chair, Mila / McGill University; Founder, Reliant AI
Strategy positions
Alignment firstmixed
Solve technical alignment before capability thresholds closeArgues distributional reinforcement learning, modelling the full distribution of returns rather than just the mean, is a richer foundation for safe deployment of RL systems.
Distributional RL learns the entire distribution over returns, not just its expectation. The richer signal turns out to matter for stability, exploration, and risk-sensitivity.
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Record last updated 2026-04-25.