psk1998

psk1998's Stars

• ossu/computer-science

  🎓 Path to a free self-taught education in Computer Science!

  173k5.8k64521.8k

• openai/gym

  A toolkit for developing and comparing reinforcement learning algorithms.

  Language:Python34.9k1.1k1.8k8.6k

• openai/baselines

  OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

  Language:Python15.8k6458504.9k

• Farama-Foundation/Gymnasium

  An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

  Language:Python7.5k42473841

• gwding/draw_convnet

  Language:Python2.7k4212517

• pnnl/neuromancer

  Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

  Language:Python9602971124

• wowthemesnet/mundana-theme-jekyll

  Mundana is a free Jekyll theme, Medium styled.

  Language:CSS7481136803

• LucasAlegre/sumo-rl

  Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.

  Language:Python74611175201

• inarikami/keras-rl2

  Reinforcement learning with tensorflow 2 keras

  Language:Python251620105

• tahanakabi/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.

  Language:HTML1846843

• ADGEfficiency/energy-py

  Reinforcement learning for energy systems

  Language:Python175114133

• liuzuxin/FSRL

  🚀 A fast safe reinforcement learning library in PyTorch

  Language:Python1654226

• Pi-Star-Lab/RESCO

  Reinforcement Learning Benchmarks for Traffic Signal Control (RESCO)

  Language:Python12142137

• Battery-Intelligence-Lab/SLIDE

  SLIDE is C++ code that simulates degradation of lithium ion cells. It extends the single particle model with various degradation models from literature. Users can select which degradation models they want to use for a given simulation.

  Language:C++11461734

• batterysim/esctoolbox-python

  Python version of Gregory Plett's ESCtoolbox

  Language:Python918343

• davidhowey/Spectral_li-ion_SPM

  Spectral li-ion SPM is a MATLAB code that solves the so-called lithium-ion battery Single Particle Model (SPM) using spectral numerical methods.

  Language:MATLAB7210115

• simondelarue/Deep-Reinforcement-Learning-for-MicroGrids

  A Deep Reinforcement Learning based approach for energy supply management in MicroGrids

  Language:Jupyter Notebook612115

• usdot-fhwa-stol/cdasim

  CDASim is an open-source simulation system supporting the development and testing of Cooperative Driving Automation applications.

  Language:Java37162513

• khazit/BatteryProbe.ai

  Battery SoC prediction using a RNN autoregressive architecture implemented with Pytorch

  Language:Python35104

• Pavelrst/RL-on-SUMO

  Demos of reinforcement learning on Simulation of Urban MObility

  Language:Python261013

• changebo/CS234-2020

  Stanford CS234: Reinforcement Learning Winter 2020

  Language:Python18108

• SaloniDash7/gym-sumo

  OpenAI gym wrapper for SUMO

  Language:Python16213

• saehong/RL-BATT-DDPG

  RL for battery fast-charging

  Language:SWIG15118

• xingminw/plymouth-traffic-env

  Python API for the SUMO environment of Plymouth Rd.

  Language:Python14103

• utkarshapets/microgrid-RL

  Microgrid/distribution network level energy market managed by an RL agent

  Language:Python13403

• pranav-s/Stanford_CS234_RL_2021

  Solutions to coding assignments of Stanford Reinforcement Learning course Winter 2021

  Language:Python12113

• NREL/OpenDSS-wrapper

  Language:Python10724

• rlaker/Hackathon

  Submission for AIHack2022 where we optimised battery charging for renewables using reinforcement learning.

  Language:Jupyter Notebook6093

• shalomma/cs234-Reinforcement_Learning

  CS234: Reinforcement Learning Winter 2021

  Language:Python5101

• EliasGaliounas/BatteryDevBBoxx

  Created from competition template.

  Language:Jupyter Notebook1102