The official implementation of "Winning the L2RPN Challenge: Semi-Markov Afterstate Actor-Critic", ICLR 2021
☆29Jul 10, 2022Updated 3 years ago
Alternatives and similar repositories for SMAAC
Users that are interested in SMAAC are comparing it to the libraries listed below
Sorting:
- This is a solution for L2RPN_NIPS_Competitions_2020, and it wins 2nd prize.☆55Sep 5, 2021Updated 4 years ago
- ☆23Oct 20, 2025Updated 4 months ago
- This repository contains the code to train the baseline agent provided in the 2022 edition of Learning to Run a Power Network and to recr…☆15Aug 2, 2022Updated 3 years ago
- Reinforcement Learning using the Actor-Critic framework for the L2RPN challenge (https://l2rpn.chalearn.org/ & https://competitions.codal…☆39Jul 15, 2019Updated 6 years ago
- L2RPN Baselines a repository to host baselines for l2rpn competitions.☆90Jul 25, 2025Updated 7 months ago
- Improving scalability of RL algorithms using GNNs: A case study in optimal EV charging.☆25Oct 16, 2025Updated 4 months ago
- CodaLab L2RPN: Learning to Run a Power Network☆64Dec 27, 2022Updated 3 years ago
- Grid2Op a testbed platform to model sequential decision making in power systems.☆411Feb 4, 2026Updated last month
- CityLearn Challenge Multi-Agent Reinforcement Learning for Intelligent Energy Management, 2020, PikaPika team☆28Oct 22, 2021Updated 4 years ago
- ACOPF with Pyomo/Pypower/Ipopt☆25Mar 18, 2025Updated 11 months ago
- Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)☆17Nov 14, 2023Updated 2 years ago
- Electricity market simulation where RL agents learn a bidding strategy☆19May 16, 2019Updated 6 years ago
- The implementation of NeurIPS_2020_L2RPN_Track1(Robustness) and Track2 (Adaptability) Competition☆18Dec 19, 2020Updated 5 years ago
- This program solves the microgrid optimal energy scheduling problem considering of a usage-based battery degradation neural network model…☆25Apr 3, 2023Updated 2 years ago
- FUSION is an open-source project aimed at revolutionizing networking through the simulation of advanced SD-EONs and AI-enhanced networks,…☆13Feb 18, 2026Updated 2 weeks ago
- Second Rank achiever code in Bird vs Drone during WOSDETC 2023 workshop at ICASSP 2023☆16Jan 25, 2024Updated 2 years ago
- This is the dataset for the paper entitled "Feature-Driven Economic Improvement for Network-Constrained Unit Commitment: A Closed-Loop Pr…☆34Jul 15, 2025Updated 7 months ago
- [SIGKDD' 24] PyTorch implementation of Temporal Prototype-Aware Learning for Active Voltage Control on Power Distribution Networks☆13Jul 28, 2024Updated last year
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆104Apr 19, 2023Updated 2 years ago
- A framework to design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution ne…☆167Nov 14, 2024Updated last year
- Primary repository for distributed dispatches software tools☆16Sep 12, 2024Updated last year
- Some time series vectorization methods which could give better representation for classification / clustering or other analysis.☆11Jan 4, 2016Updated 10 years ago
- Multi-resource Dynamic Coordinated Planning of Flexible Distribution Network☆15Jun 11, 2024Updated last year
- This set of codes implements our TSG paper "Hierarchical Deep Learning Model for Degradation Prediction per Look-Ahead Scheduled Battery …☆11Feb 24, 2025Updated last year
- Deep Learning 2021 in School of Data Science, USTC☆12May 17, 2023Updated 2 years ago
- implementation of flexABLE market simulation model as an OOP☆11Nov 25, 2025Updated 3 months ago
- Official implementation for the NeurIPS 2023 paper: "Reduced Policy Optimization for Continuous Control with Hard Constraints"☆44Apr 1, 2024Updated last year
- ☆12Mar 14, 2024Updated last year
- A Gym-like environment for Volt-Var control in power distribution systems.☆102Aug 4, 2022Updated 3 years ago
- Distributed approach of scheduling residential EV charging to maintain reliability of power distribution grids.☆11Nov 1, 2023Updated 2 years ago
- Google Inception-V3 with Keras☆11Feb 17, 2018Updated 8 years ago
- SSL Video Representation Learning project☆14Jul 8, 2025Updated 7 months ago
- A Co-Simulation Platform for Packetized Energy Management and Trading☆12Dec 17, 2024Updated last year
- End-to-End Probabilistic Inference for Nonstationary Audio Analysis☆12Aug 7, 2019Updated 6 years ago
- ☆14Feb 22, 2024Updated 2 years ago
- Code for the paper "SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks"☆12Jan 17, 2023Updated 3 years ago
- ☆11Apr 14, 2022Updated 3 years ago
- A curated list of papers & resources linked to concept learning☆12Aug 9, 2023Updated 2 years ago
- Here you can find the code for the paper "Training robust neural networks using Lipschitz bounds"☆10Sep 20, 2020Updated 5 years ago