Announced in 2016, Gym is an open-source Python library designed to assist in the advancement of support knowing algorithms. It aimed to standardize how environments are specified in AI research study, making published research more easily reproducible [24] [144] while providing users with an easy user interface for engaging with these environments. In 2022, new developments of Gym have been transferred to the library Gymnasium. [145] [146]
Gym Retro

Released in 2018, Gym Retro is a platform for reinforcement learning (RL) research on video games [147] using RL algorithms and research study generalization. Prior RL research study focused mainly on enhancing agents to fix single tasks. Gym Retro gives the ability to generalize between video games with comparable principles but various appearances.

RoboSumo

Released in 2017, RoboSumo is a virtual world where humanoid metalearning robot agents at first do not have knowledge of how to even stroll, however are offered the objectives of discovering to move and to push the opposing representative out of the ring. [148] Through this adversarial learning process, the agents discover how to adjust to altering conditions. When an agent is then gotten rid of from this virtual environment and [forum.batman.gainedge.org](https://forum.batman.gainedge.org/index.php?action=profile