- autonomous-learning-library VS pytorch-a2c-ppo-acktr-gail
- autonomous-learning-library VS PPO-PyTorch
- autonomous-learning-library VS deep_rl_zoo
- autonomous-learning-library VS learning-to-drive-in-5-minutes
- autonomous-learning-library VS Tetris-deep-Q-learning-pytorch
- autonomous-learning-library VS Meta-SAC
- autonomous-learning-library VS Fleet-AI
- autonomous-learning-library VS turtlebot3_ddpg_collision_avoidance
- autonomous-learning-library VS skrl
- autonomous-learning-library VS deep_control
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autonomous-learning-library reviews and mentions
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What's the best "Non-Black Box" framework for SOTA algorithms?
I find Autonomous Learning Library well-designed and clean, despite its modularity to some degree.
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Where do people get their algorithm implementations from?
I very strongly recommend the autonomous learning library: https://github.com/cpnota/autonomous-learning-library
Stats
cpnota/autonomous-learning-library is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of autonomous-learning-library is Python.
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