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