Vmax is building RL environments for long-horizon tasks that capture and simulate the ineffable.
Reinforcement learning researchers and developers lack realistic environments for training agents on long-horizon tasks that involve hard-to-formalize real-world dynamics.
Vmax builds reinforcement learning environments that simulate long-horizon tasks and capture otherwise ineffable aspects of real-world behavior.
Reinforcement learning researchers and developers building and training RL agents.
PhD in RL, building new ways of using RL + LLMs
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




