OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments

1 code implementation • 14 Jun 2023 • Quentin Delfosse, Jannis Blüml, Bjarne Gregori, Sebastian Sztwiertnia, Kristian Kersting

In our work, we extend the Atari Learning Environments, the most-used evaluation framework for deep RL approaches, by introducing OCAtari, that performs resource-efficient extractions of the object-centric states for these games.

Atari Games Object +3