hoc teams, since they don't know how to learn to adapt to the way other players play. Hu et al. demonstrated that learning symmetry-invariant strategies helps AI agents avoid learning uninterpretable conventions, improving their performance when matched with separately trained AI agents (scoring around 22), and with humans (scoring around 16 vs. a baseline self-play model that scored around 9). Deepmind released an open source code framework to facilitate research, called the Hanabi Learning Environment. See also Computer bridge References External links Cooperative board games French board games Card games introduced in 2010 Dedicated deck card games Antoine Bauza games Game artificial intelligence