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GitHub / TU-Delft-AI-Energy-Lab / MARL-iDR-Multi-Agent-Reinforcement-Learning-for-Incentive-based-Residential-Demand-Response
Code for the paper "MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response"
Stars: 18
Forks: 4
Open Issues: 3
License: mit
Language: Python
Repo Size: 6.34 MB
Dependencies: pending
Created: about 1 year ago
Updated: 22 days ago
Last pushed: 10 months ago
Last synced: 3 days ago
Commit Stats
Commits: 29
Authors: 1
Mean commits per author: 29.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/TU-Delft-AI-Energy-Lab/MARL-iDR-Multi-Agent-Reinforcement-Learning-for-Incentive-based-Residential-Demand-Response
Topics: demand-response, demand-side-management, energy-consumption, energy-system, human-computer-interaction, incentive-program, multi-agent-reinforcement-learning