Gymnasium Reviews & Product Details

Gym is a playground for AI agent to learn to perform their task 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 enhance my model abilities and train my model on different algorithms and compare batter preformed algorithms.

Gym is open sourcre and it have classes and modules and custom environments for specific need and to simulate specialized task.

overall Gym is 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 model.

also it hasn't multi agent training environment this too much limitations like gym hasn't built in transfer learning support Review collected by and hosted on G2.com.

OpenAI Gym to me is the most popular platform for reinforcement learning research. And it has really been useful for me and my friends in our researche activities. Review collected by and hosted on G2.com.

It is not easy to use for me as a newbie. It also has limited support for a multi agent environment. This has really possed a challenge. Review collected by and hosted on G2.com.

One of the best advancements is its work with multiple algorithms written in any framework.

Gym provides me the ability to test my algorithms on high levels of complexity and many types of tasks.

Gym API provides an interface of environments to compare the performance of different RL algorithms. Review collected by and hosted on G2.com.

One of the biggest disadvantages I found Gym does not support multi-agent environments it has single-agent environments as multiple agents work in a shared environment which is very good for reinforcement learning.

version capability problems packages can issues during installation and usage.

update problem Gym library remains up to date with the latest advancements and latest environments with time Review collected by and hosted on G2.com.

They have a leaderboard so contributors can see how their enhancements to reinforcement learning algorithms compare to others, this acts as the starting point fun to learn way for new developers to use their API and produce experimental results and compare with others Review collected by and hosted on G2.com.

Developing AI technology compulsory has to be on an open source project, which could be counterproductive to few.

Documentation is not that great and need a bit of time to go through and get used to the kit Review collected by and hosted on G2.com.

Open source and best to use classes and modules Review collected by and hosted on G2.com.

It could have a little bit more flexibility for the training an agent Review collected by and hosted on G2.com.

This toolkit for creating learning algorithms is useful and easy to pick up. Better than writing from scratch via scikit learn and good at testing for performance than pure cross validation. Review collected by and hosted on G2.com.

Couldn't specify ensembles or some low level options to customize my algorithm for specified targeting. Review collected by and hosted on G2.com.