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A pytorch tutorial for DRL(Deep Reinforcement Learning)
Created 2019-02-04
80 commits to master branch, last one about a year ago
31
202
apache-2.0
4
Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.
Created 2019-06-15
51 commits to master branch, last one about a year ago
11
104
apache-2.0
4
A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.
This repository has been archived (exclude archived)
Created 2022-03-25
41 commits to main branch, last one 8 months ago
The implement of all kinds of dqn reinforcement learning with Pytorch
Created 2020-02-04
32 commits to master branch, last one 3 years ago
PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER, Noisy layer, N-step bootstrapping, Dueling architecture and p...
Created 2020-08-12
37 commits to master branch, last one 4 years ago