Gym is a playground for AI agents to learn to perform their tasks with flexible classes and customization to improve accuracy more and more. I compare my reinforcement learning algorithms like DDPG, DQN, and PPO, while training Gym enhances my model abilities and trains my model on different algorithms and compares better-performing algorithms. Gym is open source and it has classes and modules and custom environments for specific needs and to simulate specialized tasks. Overall, Gym is a feature-rich and user-friendly toolkit. Review collected by and hosted on G2.com.

Gym hasn't distributed training support for complex environments or larger models. Also, it hasn't multi-agent training environments, which is too much of a limitation, like Gym hasn't built-in transfer learning support. Review collected by and hosted on G2.com.