nature-1228's Stars
Nathan-Bernardo/RCPS-Safety-Guidance
Safe Reinforce Learning -> Constraint algorithms to train agents in Safety Gym, paper notes on research papers regarding RL with constraints + optimizer + neural networks, PyTorch implementation on policy gradient algorithms
abalakrishna123/recovery-rl
Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.
liuzuxin/OSRL
🤖 Elegant implementations of offline safe RL algorithms in PyTorch
PKU-Alignment/safe-rlhf
Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback
RLGC-Project/RLGC
An open-source platform for applying Reinforcement Learning for Grid Control (RLGC)
bossdm/RCMDP
algorithms for robust constrained Markov decision processes
akifumi-wachi-4/safe_near_optimal_mdp
Safe Reinforcement Learning in Constrained Markov Decision Processes
phalonneNana/Reinforcement-Learning-by-Minimizing-Constraint-Violation
This research aims to address the challenge of effectively representing logical safety constraints within the RL framework by introducing a novel violation measure, thereby enhancing the agent’s decision- making process in model-free RL using constrained Markov Decision Processes to adhere to the safety constraints.
RanZhu1989/IL_Self_Healing
This repository is an recast vserion of the Paper ``Hybrid Imitation Learning for Real-Time Service Restoration in Resilient Distribution Systems'' of TII.
KGongZju/OPF-with-PandaPower
IEEE-118 cost-based OPF using PandaPower
fredrikofstad/RL-Microgrid-Coordination
Coordinating energy management for microgrid using reinforcement learning
GitX123/Microgrid_EMS
LP optimization for multi-microgrid energy management using Pyomo.
tshort/OpenDSS
Electrical power system simulation tool primarily for utility power distribution systems
kevinrussellmoy/smart-rl-mg
Reinforcement Learning + Microgrids for OpenDSS with the Stanford Microgrid Analysis and Research Training internship
RanZhu1989/BC_SelfHealing
Reproduced Code for Paper "Hybrid Imitation Learning for Real-Time Service Restoration in Resilient Distribution Systems"
whoiszyc/IntelliHealer
IntelliHealer: An imitation and reinforcement learning platform for self-healing distribution networks
RanZhu1989/Adversarial-Generation-DRO-RL-for-Critical-Load-Restoration
Code for Paper 'Adversarial Enviroment Generation Enhanced Distributionally Robust Reinforcement Learning for Critical Load Restoration in Distribution System'. Many thanks for suggestions and supports!
NREL/hybrid-rl-mpc4clr
RanZhu1989/RL_PlayGround
This repository is a playground for beginners to learn reinforcement learning. It is a collection of simple environments and agents to get you started with reinforcement learning.
NREL/DSS-SimPy-RL
This repository is an Reinforcement Learning Platform for learning agents to control cyber-physical Power Distribution Systems resiliently. The cyber environment in based on SimPy Discrete Event Simulator, while the distribution system is backened by Open-DSS.
wilsonhu7777/Vanilla-DQN-for-Bat
Deep Reinforcement Learning Techniques for Energy Management of Networked Microgrids
NREL/rlc4clr
RLC4CLR employs curriculum learning to train a reinforcement learning controller (RLC) for a distribution system critical load restoration (CLR) problem.
shariqiqbal2810/maddpg-pytorch
PyTorch Implementation of MADDPG (Lowe et. al. 2017)
dynamik1703/gym_longicontrol
A new Reinforcement Learning Environment
gxnk/reinforcement-learning-code
TommyZihao/zihao_course
同济子豪兄的公开课
Harry24k/bayesian-neural-network-pytorch
PyTorch implementation of bayesian neural network [torchbnn]
NLP-LOVE/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。