gym-ignition
Explore a flexible framework facilitating the creation of robotics environments for reinforcement learning. Leveraging ScenarIO, gym-ignition provides key abstractions such as Task and Runtime to focus on logic development. While not currently maintained, it eases simulation setup and domain randomization with dynamic algorithms. Ideal for custom RL environment creation, despite lacking pre-built settings, with ample examples available.
