63 Open source projects that are alternatives of or similar to Resources-Allocation-in-The-Edge-Computing-Environment-Using-Reinforcement-Learning

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

Repo for the Deep Reinforcement Learning Nanodegree program

Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

Simple Reinforcement Learning Framework

An elegant PyTorch deep reinforcement learning library.

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

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

Implementation of the Deep Deterministic Policy Gradient(DDPG) in bullet Gym using pytorch

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

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

Implementation of algorithms for continuous control (DDPG and NAF).

No description or website provided.

🤖 Implements of Reinforcement Learning algorithms.

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

Ape-X DQN & DDPG with pytorch & tensorboard

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

a unified environment for supervised learning and reinforcement learning in the context of quantitative trading

Modularized Implementation of Deep RL Algorithms in PyTorch

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

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Using PyTorch and DDPG to play Torcs

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

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

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

Build environment and train a robot arm from scratch (Reinforcement Learning)

juliareinforcementlearning.org/

Solving OpenAI Gym problems.

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

☔ Deep RL agents with PyTorch☔

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

Reinforcement Learning for WeChat Jump

TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x

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

Pytorch Implementation of RL algorithms

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

Lightweight deep RL Libraray for continuous control.

Minimal implementations of reinforcement learning algorithms by Tensorflow

Live Trading. Please star.

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

Learning Continuous Control in Deep Reinforcement Learning

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

Python library for Reinforcement Learning.

Code for NIPS 2017 learning to run challenge

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

Provide full reinforcement learning benchmark on mujoco environments, including ddpg, sac, td3, pg, a2c, ppo, library

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

A PyTorch library for building deep reinforcement learning agents.