368 Open source projects that are alternatives of or similar to pytorchrl

Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"

Play Google Chrome's T-rex game with TensorFlow

Evaluating pre-trained navigation agents under corruptions

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

No description or website provided.

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering

[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving

Grokking Deep Reinforcement Learning

A curated list of awesome Deep Reinforcement Learning resources.

PyTorch implementation of soft actor critic

Code accompanying the CVPR 2019 paper: https://arxiv.org/abs/1812.04155

Deep Q-Learning Network in pytorch (not actively maintained)

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

Tensorforce: a TensorFlow library for applied reinforcement learning

Implementation of CoDAIL in the ICLR 2021 paper <Multi-Agent Interactions Modeling with Correlated Policies>

RLgraph: Modular computation graphs for deep reinforcement learning

PyTorch implementation of Soft Actor-Critic (SAC)

RAD: Reinforcement Learning with Augmented Data

A high-level framework for advanced deep learning with TensorFlow

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

Repository for codes of 'Deep Reinforcement Learning'

StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)

Developing a deep neural network to play a snake game

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

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

Code repository for SARNet: Learning Multi-Agent Communication through Structured Attentive Reasoning (NeurIPS 2020)

Eagerly Experimentable!!!

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.

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.

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

Reinforcement Learning Algorithms

An elegant PyTorch deep reinforcement learning library.

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Clean PyTorch implementations of imitation learning algorithms

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

游戏捏脸，基于神经风格迁移框架生成逼真人脸

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

Pantheon of Congestion Control

Autonomous Drifting using Reinforcement Learning

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action

Live Trading. Please star.

Repository to accompany RSS 2018 paper on dexterous hand manipulation

An independent implementation of DeepMind's AlphaGoZero in Scala, using Deeplearning4J (DL4J)

Who Let The Dogs Out? Modeling Dog Behavior From Visual Data https://arxiv.org/pdf/1803.10827.pdf

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

深度学习论文阅读路线图

OpenDILab Auto-driving platform

No description or website provided.

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

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

No description or website provided.

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.

UAV Obstacle Avoidance using Deep Recurrent Reinforcement Learning with Temporal Attention

Notes on Deep Reinforcement Learning for Natural Language Processing papers