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

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

Minimal and Clean Reinforcement Learning Examples

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

Deep Reinforcement Learning based Trading Agent for Bitcoin

RAD: Reinforcement Learning with Augmented Data

A reinforcement learning package for Julia

No description or website provided.

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

StarCraft II - pysc2 Deep Reinforcement Learning Examples

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Deep Reinforcement Learning Pong Agent, King Pong, he's the best

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.

[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.

Implementations of Reinforcement Learning Models in Tensorflow

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Developing a deep neural network to play a snake game

This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"

Deep Reinforcement Learning Algorithms Implementation in PyTorch

Deep Planning Network: Control from pixels by latent planning with learned dynamics

Deep Reinforcement Learning algorithms implemented in PyTorch

Deep Reinforcement Learning applied to a modern 3D video-game environment called Delivery Duel.

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

an implementation of CommNet

Research repo of RL

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

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

Deep Developmental Reinforcement Learning

RLgraph: Modular computation graphs for deep reinforcement learning

A pytorch tutorial for DRL(Deep Reinforcement Learning)

Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs

StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)

No description or website provided.

Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym

Machine- and Reinforcement Learning ExtensioN for (game) Engines

Open-source reinforcement learning environment for autonomous racing.

Implementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!

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

Tensorforce: a TensorFlow library for applied reinforcement learning

DrQ: Data regularized Q

Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

Fitness landscape exploration sandbox for biological sequence design.

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

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

Evaluating pre-trained navigation agents under corruptions

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

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

Autonomous Drifting using Reinforcement Learning

Deep reinforcement learning with tensorflow2

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

Simple Reinforcement Learning Framework

Hierarchical-DQN in pytorch (not actively maintained)

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