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Showing 2 open source projects for "trace"
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Reinforcement Learning Methods
Simple Reinforcement learning tutorials
...It provides clear code examples for foundational techniques like Q-learning, policy gradients, deep Q-networks, actor-critic methods, and value function approximation within familiar simulation environments. Each algorithm is structured with readable code, explanatory comments, and corresponding environment interaction loops so learners can easily trace how actions, rewards, and model updates connect. The project also includes demo scripts that visualize learning curves and allow students to observe policy improvement over training iterations. By using TensorFlow as the backbone, it highlights practical considerations such as tensor shapes, loss computation, optimization steps, and batching in an RL context. -
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artilleurs
équation des artilleurs
Ce programme de balistique trace la trajectoire d'une projectile. Il est basé sur l'équation des artilleurs. Plusieurs paramètres sont réglables: vitesse initiale du projectile, angle du canon, surface du projectile, mase du projectile. La portée du tir, ainsi que l'altitude max atteinte par le projectole sont calculées.
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