d3rlpy is a Python library providing the state-of-the-art offline deep reinforcement learning algorithms through scikit-learn style API.
MINERVA provides extremely powerful deep reinforcement learning algoriths through the stunning GUI. You can start reinforcement learning projects with the minimum lines of codes.
MINERVA only requires datasets to start offline deep reinforcement learning. Any combinations of vector observations and image observations with discrete actions and continuous actions are supported.
MINERVA provides designed with intuitive GUI to let everyone lerverage extremely powerful algorithms without barriers. The GUI is developed as a Single Page Application (SPA) to make it work in the eye-opening speed.
MINERVA is powered by d3rlpy, a powerful offline deep reinforcement learning library for Python, to provide extremely powerful algorithms in an out-of-the-box way. The trained policy can be exported as TorchScript and ONNX.
Datasets can be easily uploaded to manage and visualize statistical information.
Start training deep reinforcement learning algorithms without coding while visualizing metrics.
The trained policy can be exported as TorchScript and ONNX format for deployment.
d3rlpy is a Python library providing the state-of-the-art offline deep reinforcement learning algorithms through scikit-learn style API.