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The Top 19 Pytorch Deep Q Network Open Source Projects

Open source projects categorized as Pytorch Deep Q Network
Categories > Machine Learning > Deep Q Network
Deep_reinforcement_learning_course ⭐ 3,494
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
most recent commit 4 months ago
Deeprl Tutorials ⭐ 726
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
most recent commit 2 years ago
Flappy Bird Deep Q Learning Pytorch ⭐ 407
Deep Q-learning for playing flappy bird game
most recent commit 2 years ago
Pytorch Drl ⭐ 387
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
most recent commit 5 years ago
Pytorch Dqn ⭐ 346
Deep Q-Learning Network in pytorch (not actively maintained)
most recent commit 5 years ago
Tetris Deep Q Learning Pytorch ⭐ 273
Deep Q-learning for playing tetris game
most recent commit 3 years ago
Distributed_rl ⭐ 66
Pytorch implementation of distributed deep reinforcement learning
most recent commit 9 months ago
Pytorch Learn Reinforcement Learning ⭐ 42
A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.
most recent commit 2 years ago
Dqn Using Pytorch And Ml Agents ⭐ 31
A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment
most recent commit 4 years ago
Deeprl Navigation ⭐ 8
Deep Reinforcement Learning DQN on Unity ML Agent
most recent commit 5 years ago
Deep Q Network Ataribreakoutgame ⭐ 7
Playing Atari Breakout Game with Reinforcement Learning (DQN , Deep Q Learning)
most recent commit 4 years ago
Rubiks_cube_ai ⭐ 6
A PyTorch AI that learns to solve Rubik's Cubes using Deep Q-Learning.
most recent commit 3 years ago
Reinforcement Learning ⭐ 5
Implementation and Notes of different Reinforcement Learning Algorithms
most recent commit 3 years ago
Robot_car ⭐ 5
Creating a physical robot that learns to play a game with reinforcement learning!
most recent commit 4 years ago
2wsi Rl ⭐ 4
Study on the application of reinforcement learning to the management of a traffic light intersection.
most recent commit 23 days ago
Pixelrl Sr ⭐ 4
Pytorch implementation of Super-Resolution model using Multi-Step Reinforcement Learning
most recent commit 9 months ago
Player_zoo ⭐ 2
Deep reinforcement learning implementations
most recent commit 4 years ago
Dqn ⭐ 2
A compact and flexible DQN implementation as well as a variety of improvements leading to the rainbow agent.
most recent commit 2 years ago
Donkeycar Rl ⭐ 2
Teaching the Donkey car to drive a track in the simulator using State Representation Learning and different Reinforcement Learning Algorithms including Deep Q-Network, Soft Actor-Critic and Proximal Policy Optimization Algorithms.
most recent commit a year ago
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