377 Open source projects that are alternatives of or similar to A Deep Rl Approach For Sdn Routing Optimization

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

🎛 Multipath Software Defined Networking Controller which sets up multipath forwarding tables and adjusts them based on network measurements

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

Resources, papers, tutorials

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Imitation learning algorithms

Salt-Orchestrated OpenSource based Software-Defined-Freifunk-Infrastructre-Network configuration :) Mirrored from https://git.ffho.net/FreifunkHochstift/ffho-salt-public

🤖 Implements of Reinforcement Learning algorithms.

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Explore and find reinforcement learning environments in a list of 150+ open source environments.

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CoreBGP is a BGP library written in Go that implements the BGP FSM with an event-driven, pluggable model.

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Collection of SDN security related resources

Highly Modular and Scalable Reinforcement Learning

A Smart Ethernet Switch for Earth

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

Scalable, event-driven, deep-learning-friendly backtesting library

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

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

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

Deep Reinforcement Learning with pytorch & visdom

FastClick - A faster version the Click Modular Router featuring batching, advanced multi-processing and improved Netmap and DPDK support (ANCS'15). Check the metron branch for Metron specificities (NSDI'18).

StarCraft II - pysc2 Deep Reinforcement Learning Examples

An advanced program in Machine Learning and Deep Learning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

Teach a Quadcopter How to Fly!

Gibson Environments: Real-World Perception for Embodied Agents

PyTorch Implementation of Neural Episodic Control (NEC)

An evolving guide to learning Deep Learning effectively.

[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

Malmo Collaborative AI Challenge - Team Pig Catcher

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

A deep reinforcement learning bot that plays tetris

Deep Reinforcement Learning based Trading Agent for Bitcoin

Distributed SDN controller built on top of beehive.

Code repository for the Animal AI Olympics competition

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

CloudSimSDN is an SDN extension of CloudSim project to simulate SDN and SFC features in the context of a cloud data center.

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

TensorFlow implementation of Deep Reinforcement Learning papers

List of awesome resources for machine learning-based algorithmic trading

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

The SSBM "Phillip" AI.

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

A3C LSTM Atari with Pytorch plus A3G design

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

A course in reinforcement learning in the wild

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

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

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Deep Reinforcement Learning (DRL) agents applied to medical images

CSCI 599 deep learning and its applications final project

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

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

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