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A pytorch tutorial for DRL(Deep Reinforcement Learning)
Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.
A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.
A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning
The implement of all kinds of dqn reinforcement learning with Pytorch
🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.
Collection of reinforcement learning algorithms implementations with TensorFlow2
Reinforcement learning algorithm implementation
Use Baseline3 zoo Framework and PPO/QR-DQN algo to train games like super mario tetris etc....