Viewing posts for the category Reinforcement Learning

Eighteen Months of RL Research at Google Brain in Montreal

Back in the summer of 2017, in-between a few farewell vacations around Europe, I became a (then-remote) member of the newly-formed Google Brain team in Montreal. My home office offered a stunning view of Belsize Park in northern London, and hosted the entirety of Google Montreal’s RL group: yours truly.

A cooperative benchmark: Announcing the Hanabi Learning Environment

Today, as part of a DeepMind / Google Brain team collaboration, we’re releasing the Hanabi Learning Environment (code and paper), a research platform for multiagent learning and emergent communication based on the popular card game Hanabi. The HLE provides an interface for AI agents to play the game, and comes packaged with a learning agent based on the Dopamine framework. The platform’s name echoes that of the highly-successful Arcade Learning Environment.