This is your work, valued
rl-starter-files. RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
726torch-ac. Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
207automatic-curriculum. Algorithms for curriculum learning. The code of the "Mastering Rate based Curriculum Learning" paper.
20python-brick-breaker. A simple and funny Python Brick Breaker with an easy level-maker
12python-MNIST-classifier. A Python handwritten digit classifier trained on MNIST with a UI for using it
10MVA-RL-project. Implementation and comparison of 5 algorithms: EWF, Exp3, Exp3.P, CFR and CFR+
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