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

Yet another deep reinforcement learning

Use Baseline3 zoo Framework and PPO/QR-DQN algo to train games like super mario tetris etc....