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Vmax

Vmax is building RL environments for long-horizon tasks that capture and simulate the ineffable.

South Park Commons2025SeedGeneral Software

What they do

Problem

Reinforcement learning researchers and developers lack realistic environments for training agents on long-horizon tasks that involve hard-to-formalize real-world dynamics.

Solution

Vmax builds reinforcement learning environments that simulate long-horizon tasks and capture otherwise ineffable aspects of real-world behavior.

Who it's for

Reinforcement learning researchers and developers building and training RL agents.

Founders

Matthew Sargent

PhD in RL, building new ways of using RL + LLMs

Augustine Mavor-Parker

RL PhD at UCL, working on LLMs and reasoning at vmax, prev: AI safety at Redwood research, NeuroAI at CSHL, AI for genomics at lllumina

Open roles 3

Member of Technical Staff - RL Infrastructure
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Research Fellowship - Mechanistic Interpretability
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Member of Technical Staff - RL Algorithms
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