We introduce Voyager, the first LLM-powered embodied lifelong learning agent in Minecraft
that continuously explores the world, acquires diverse skills, and makes novel discoveries …

Autonomous agents have made great strides in specialist domains like Atari games and Go.
However, they typically learn tabula rasa in isolated environments with limited and manually …

While the history of machine learning so far largely encompasses a series of problems
posed by researchers and algorithms that learn their solutions, an important question is …

Perhaps the most ambitious scientific quest in human history is the creation of general
artificial intelligence, which roughly means AI that is as smart or smarter than humans. The …

How can progress in machine learning and reinforcement learning be automated to
generate its own never-ending curriculum of challenges without human intervention? The …

Lexicase selection is a widely used parent selection algorithm in genetic programming,
known for its success in various task domains such as program synthesis, symbolic …

One potential drawback of using aggregated performance measurement in machine
learning is that models may learn to accept higher errors on some training cases as …

Population diversity holds significant importance in determining the success of any
evolutionary algorithm. It helps the algorithm in efficiently exploring the search space and …

Lexicase selection is a semantic-aware parent selection method, which assesses individual
test cases in a randomly-shuffled data stream. It has demonstrated success in multiple …

In quality-diversity algorithms, the behavioral diversity metric is a key design choice that
determines the quality of the evolved archives. Although behavioral diversity is traditionally …