Stable-Baselines3 alternatives

RLlib excels in scalability for complex or distributed reinforcement learning workloads, supporting multi-agent setups and large-scale parallel training across clusters.

TF-Agents is an open-source library from Google for building reinforcement learning algorithms and environments using the TensorFlow ecosystem, providing a modular design for customizing components.

Keras-RL2 provides a simple and easy-to-use library for implementing reinforcement learning algorithms in Keras, making it particularly beginner-friendly.

Tianshou is a flexible and customizable PyTorch-based library designed for reinforcement learning research, offering a clean and modular API for implementing various RL algorithms.