Sllvsjay's starred repositories
Exploring-Munchausen-Reinforcement-Learning
PyTorch implementation of Munchausen Reinforcement Learning based on DQN and SAC. Handles discrete and continuous action spaces
Min-RePaint
Implementing a minimal version of RePaint (https://arxiv.org/abs/2201.09865)
SAC-Lagrangian
PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm
Safe-Policy-Optimization
NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms
MARL-code-pytorch
Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.
Soft-Actor-Critic-and-Extensions
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
DRL-code-pytorch
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
Popular-RL-Algorithms
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
MG-Opt-Energy-Scheduling_wBatteryDegradation
This program solves the microgrid optimal energy scheduling problem considering of a usage-based battery degradation neural network model. This work is under the open license: CC BY 4.0.
RL-pytorch
A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.
spinningup
An educational resource to help anyone learn deep reinforcement learning.
safe-split-dqn
Safer Deep Reinforcement Learning (DRL) by iteratively updating domain variables including Safety Monitors. Currently extending work from here: https://github.com/jinwooro/Safety-RL-Generic
Safe-Reinforcement-Learning-Baselines
The repository is for safe reinforcement learning baselines.
power-system-reliability-examples
This repository is meant to host some very simple examples on how to perform power system reliability analysis.
Reliability-of-Sustainable-Power-Systems
This repository contains all the labs for TUDelft course EE3065TU Reliability of Sustainable Power Systems from 2022/2023
Short-term-reliability-and-economic-evaluation-of-resilient-microgrids
a flexibility oriented stochastic scheduling framework is presented to evaluate short-term reliability and economic of islanded microgrids (MGs) under different incentive-based DR (IBDR) programs.
softqlearning
Reinforcement Learning with Deep Energy-Based Policies
GAN-for-Time-Series-in-Pytorch
使用GAN对时间序列进行建模
DRL-for-Energy-Systems-Optimal-Scheduling
The source code for Performance comparision of Deep RL algorithms for Energy Systems Optimal Scheduling
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
reinforcement_learning_basic_book
这是一个学习强化学习基础原理的仓库，主要包括了《深入浅出强化学习原理入门》书中一些例子和课后作业的代码