{"repo":"enlite-ai/maze","free":true,"listed":false,"github":"https://github.com/enlite-ai/maze","clone":"git clone https://github.com/enlite-ai/maze.git","description":"Maze Applied Reinforcement Learning Framework","language":"Python","stars":292,"topics":["reinforcement-learning","python","machine-learning","simulation","deep-learning","monitoring","distributed","documentation","data-science","framework"],"license":null,"category":"machine-learning","readme_excerpt":"Applied Reinforcement Learning with Python MazeRL is an application oriented Deep Reinforcement Learning (RL) framework, addressing real-world decision problems. Our vision is to cover the complete development life cycle of RL applications ranging from simulation engineering up to agent development, training and deployment. This is a preliminary, non-stable release of Maze. It is not yet complete and not all of our interfaces have settled yet. Hence, there might be some breaking changes on our way towards the first stable release. Spotlight Features Below we list a few selected Maze features. - Design and visualize your policy and value networks with the Perception Module. It is based on PyTorch and provides a large variety of neural network building blocks and model styles. Quickly compose powerful representation learners from building blocks such as: dense, convolution, graph convolution and attention, recurrent architectures, action- and observation masking, self-attention etc. - Create the conditions for efficient RL training without writing boiler plate code, e.g. by supporting best practices like pre-processing and normalizing your observations. - Maze supports advanced environment structures reflecting the requirements of real-world industrial decision problems such as multi-step and multi-agent scenarios. You can of course work with existing Gym-compatible environments. - Use the provided Maze trainers (A2C, PPO, Impala, SAC, Evolution Strategies), which are supportin","default_branch":null,"files":null,"tree":[],"storefront":"/r/enlite-ai","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/enlite-ai/maze/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}