timckai,github

-peer-to-peer-multi-agent-system

C# | Peer to peer Multi-Agent System for microgrid energy trading using auction portocols

agent-based-modeling-in-electricity-market-using-ddpg-algorithm

Agent-Based Modeling in Electricity Market Using Deep Deterministic Policy Gradient Algorithm

ai-blog

Accompanying repository for Let's make a DQN / A3C series.

auto-sklearn

Automated Machine Learning with scikit-learn

docplex-examples

These samples demonstrate how to use the DOcplex library to model and solve optimization problems.

drl-for-microgrid-energy-management

We study the performance of various deep reinforcement learning algorithms for the problem of microgrid’s energy management system. We propose a novel microgrid model that consists of a wind turbine generator, an energy storage system, a population of thermostatically controlled loads, a population of price-responsive loads, and a connection to the main grid. The proposed energy management system is designed to coordinate between the different sources of flexibility by defining the priority resources, the direct demand control signals and the electricity prices. Seven deep reinforcement learning algorithms are implemented and empirically compared in this paper. The numerical results show a significant difference between the different deep reinforcement learning algorithms in their ability to converge to optimal policies. By adding an experience replay and a second semi-deterministic training phase to the well-known Asynchronous advantage actor critic algorithm, we achieved considerably better performance and converged to superior policies in terms of energy efficiency and economic value.

drl-tensorflow

My DRL library with tensorflow1.14 based on openai spinning-up

drl-with-pytorch

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

drlib

DRLib：A concise deep reinforcement learning library, integrating HER and PER for almost off policy RL algos.

dtqn

Deep Transformer Q-Networks for Partially Observable Reinforcement Learning

fate

An Industrial Grade Federated Learning Framework

fcrl

Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)

fedavg

Implement FedAvg algorithm based on Tensorflow

fedqn-a-federated-learning-approach-for-training-reinforcement-learning-agent-of-atari-games

FeDQN is a federated pipeline for training reinforcement learning agent of atari game, the Pong, developed during my first semester at Istanbul Technical University Computer Engineering MSc Program

ga3c

Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.

human_drone_sc

[ICDE 2022] Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented Distributed Multi-Agent Deep Reinforcement Learning

machin

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

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

maddpg-1

Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments".

maddpg-pytorch

PyTorch Implementation of MADDPG (Lowe et. al. 2017)

marl-101

just for fun

matpower

MATPOWER – steady state power flow simulation and optimization for MATLAB and Octave

mbppol

This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm" accepted at NeurIPS 2022.

meta-critic-networks

Pytorch code for Arxiv Paper: Learning to learn: Meta-Critic Networks for Sample-Efficient Learning

meta-learning

Meta Reinforcement Learning Experiments

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

netty-quic-proxy

A forward proxy base netty uses quic protocol

new_test

测试创建一个github库

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

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