Pinned Repositories
-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.
netty-quic-proxy
A forward proxy base netty uses quic protocol
TIMCkai's Repositories
TIMCkai/DRL-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
TIMCkai/netty-quic-proxy
A forward proxy base netty uses quic protocol
TIMCkai/-Peer-to-peer-Multi-Agent-System
C# | Peer to peer Multi-Agent System for microgrid energy trading using auction portocols
TIMCkai/auto-sklearn
Automated Machine Learning with scikit-learn
TIMCkai/docplex-examples
These samples demonstrate how to use the DOcplex library to model and solve optimization problems.
TIMCkai/DRLib
DRLib：A concise deep reinforcement learning library, integrating HER and PER for almost off policy RL algos.
TIMCkai/DTQN
Deep Transformer Q-Networks for Partially Observable Reinforcement Learning
TIMCkai/FATE
An Industrial Grade Federated Learning Framework
TIMCkai/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
TIMCkai/human_drone_SC
[ICDE 2022] Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented Distributed Multi-Agent Deep Reinforcement Learning
TIMCkai/machin
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
TIMCkai/maddpg
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
TIMCkai/MADDPG-1
Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments".
TIMCkai/matpower
MATPOWER – steady state power flow simulation and optimization for MATLAB and Octave
TIMCkai/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.
TIMCkai/multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
TIMCkai/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
TIMCkai/overleaf-textarea
This plugin displays your tex source in a textarea so plugins like grammarly can check it.
TIMCkai/pai
Resource scheduling and cluster management for AI
TIMCkai/pso
粒子群算法(PSO)的Python实现（求解多元函数的极值）
TIMCkai/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
TIMCkai/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
TIMCkai/reinforcement-learning-an-introduction-chinese
《Reinforcement Learning: An Introduction》（第二版）中文翻译
TIMCkai/RL-Adventure-2
PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
TIMCkai/rl-book
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
TIMCkai/rlkit
Collection of reinforcement learning algorithms
TIMCkai/SAC-Continuous-Pytorch
a clean and robust Pytorch implementation of SAC on continuous action space
TIMCkai/scikit-opt
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
TIMCkai/spinningup
An educational resource to help anyone learn deep reinforcement learning.
TIMCkai/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.