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GitHub / ShengrenHou / Optimal-Energy-System-Scheduling-Combining-Mixed-Integer-Programming-and-Deep-Reinforcement-Learning

The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe reinforcement learning, energy management

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ShengrenHou%2FOptimal-Energy-System-Scheduling-Combining-Mixed-Integer-Programming-and-Deep-Reinforcement-Learning
PURL: pkg:github/ShengrenHou/Optimal-Energy-System-Scheduling-Combining-Mixed-Integer-Programming-and-Deep-Reinforcement-Learning

Stars: 82
Forks: 16
Open issues: 5

License: mit
Language: Python
Size: 5.63 MB
Dependencies parsed at: Pending

Created at: almost 3 years ago
Updated at: 11 months ago
Pushed at: about 2 years ago
Last synced at: 11 months ago

Commit Stats

Commits: 10
Authors: 2
Mean commits per author: 5.0
Development Distribution Score: 0.5
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/ShengrenHou/Optimal-Energy-System-Scheduling-Combining-Mixed-Integer-Programming-and-Deep-Reinforcement-Learning

Topics: deep-reinforcement-learning, energy-management, power-system, reinforcement-learning, safe-reinforcement-learning

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