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-tensorflow
My DRL library with tensorflow1.14 based on openai spinning-up
TIMCkai/FedAvg
Implement FedAvg algorithm based on Tensorflow
TIMCkai/agent-based-modeling-in-electricity-market-using-DDPG-algorithm
Agent-Based Modeling in Electricity Market Using Deep Deterministic Policy Gradient Algorithm
TIMCkai/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
TIMCkai/new_test
测试创建一个github库
TIMCkai/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.
TIMCkai/RLcode
TIMCkai/GA3C
Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
TIMCkai/tensorflow_practice
tensorflow实战练习,包括强化学习、推荐系统、nlp等
TIMCkai/maddpg-pytorch
PyTorch Implementation of MADDPG (Lowe et. al. 2017)
TIMCkai/machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
TIMCkai/Reinforcement_learning_tutorial_with_demo
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
TIMCkai/FCRL
Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)
TIMCkai/AI-blog
Accompanying repository for Let's make a DQN / A3C series.
TIMCkai/pytorch-maddpg
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
TIMCkai/meta-critic-networks
Pytorch code for Arxiv Paper: Learning to learn: Meta-Critic Networks for Sample-Efficient Learning
TIMCkai/MARL-101
just for fun
TIMCkai/pytorch-MADRL
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
TIMCkai/meta-learning
Meta Reinforcement Learning Experiments