This presentation will first motivate games as a benchmark for studying environments with complex feedback. Then it will shortly review the main game theory solution concepts that can be used as an objective to learn in games. Finally, the presentation will highlight a few recent algorithmic advances and results in 2 classes of games (imperfect information games and mean field games).