maze-rl (pypi): MazeRL is a development framework for building applied reinforcement learning systems, addressing real-world decision problems. It supports the complete development life cycle of RL applications, ranging from simulation engineering up to agent development, training and deployment.
Keywords: applied-reinforcement-learning|reinforcement-learning|machine-learning|deep-learning|distributed|optimization|applied-machine-learning|automation|data-science|decision-making|documentation|framework|monitoring|python|simulation