Member of Technical Staff - Open Endedness
About Vmax
Vmax is an applied research lab developing AI capable of open-ended learning. We are building systems to exceed humans in all capacities by optimising beyond the local maxima of learning from human expertise.
About the role
A core focus of ours is agents that can learn to find their own objectives in the world. We are looking for researchers to design and build new ways of using RL where the formulation of rewards and tasks need to be discovered, rather than given.
Responsibilities
Develop RL methods for agents that can discover useful objectives, tasks and curricula without relying entirely on human-specified rewards.
Design systems for open-ended learning, including unsupervised/automated environment design, asymmetric self-play, and intrinsic motivation.
Build training loops where agents learn from interaction, exploration, novelty, competence progress, self-generated challenges, or other nonstandard reward signals.
Investigate how agents can avoid collapse into trivial, degenerate, or easily exploitable objectives.
Own and develop a research agenda within Vmax, from identifying promising directions to execut
