335 Open source projects that are alternatives of or similar to Pytorch Dqn

Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.

Deep Reinforcement Learning for Robotic Grasping from Octrees

an implementation of CommNet

End to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo

Research repo of RL

No description or website provided.

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

[ICRA 2021] Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning

source code for 'Improving automatic source code summarization via deep reinforcement learning'

Deep Developmental Reinforcement Learning

Flappy Frog hack using Deep Reinforcement Learning (Deep Q-learning). 暴力膜蛤不可取。

RLgraph: Modular computation graphs for deep reinforcement learning

An out-of-the-box GUI tool for offline deep reinforcement learning

Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs

A pytorch tutorial for DRL(Deep Reinforcement Learning)

High-speed Autonomous Drifting with Deep Reinforcement Learning

No description or website provided.

StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)

Mario AI Ensemble

A high-level framework for advanced deep learning with TensorFlow

Machine- and Reinforcement Learning ExtensioN for (game) Engines

Eagerly Experimentable!!!

Open-source reinforcement learning environment for autonomous racing.

Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)

An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.

Live Trading. Please star.

Tensorforce: a TensorFlow library for applied reinforcement learning

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.

Learning Continuous Control in Deep Reinforcement Learning

A TensorFlow-based framework for learning about and experimenting with reinforcement learning algorithms

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

Official implementation of the paper "Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning Algorithms": https://arxiv.org/abs/1909.01779 To appear at the next NeurIPS2019 DRL-Workshop

Using self-play, MCTS, and a deep neural network to create a hearthstone ai player

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

A curated list of resources about Machine Learning for Robotics

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

Simple Reinforcement Learning Framework

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

Hierarchical-DQN in pytorch (not actively maintained)

A course on Deep Reinforcement Learning in Computer Vision. Visit Website:

3D RL Volleyball environment built on Unity ML-Agents

Curso de Aprendizaje por Refuerzo, de 0 a 100 con notebooks y slides muy sencillas para entenderlo todo perfectamente.

Code for DeepCubeA, a Deep Reinforcement Learning algorithm that can learn to solve the Rubik's cube.

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020

Distributed A3C

We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.

Revisiting Rainbow

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.

An artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

The code for the SRDQN algorithm to train an agent for the beer game problem

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

No description or website provided.

A Universal Deep Reinforcement Learning Framework

With underflow, create trafic light clusters that interact together to regulate circulation