Research graph
References from Gym-ANM: Reinforcement learning environments for active network management tasks in electricity distribution systems. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
2018 · External reference
Reinforcement learning for electric power system decision and control: past considerations and perspectives
10.1016/j.ifacol.2017.08.1217 · 2017 · External reference
Playing atari with deep reinforcement learning
2013 · External reference
Human-level control through deep reinforcement learning
10.1038/nature14236 · 2015 · External reference
Mastering the game of go with deep neural networks and tree search
10.1038/nature16961 · 2016 · External reference
Grandmaster level in starcraft ii using multi-agent reinforcement learning
10.1038/s41586-019-1724-z · 2019 · External reference
A survey on policy search for robotics
2013 · External reference
Reinforcement learning in robotics: applications and real-world challenges
10.3390/robotics2030122 · 2013 · External reference
Reinforcement learning in robotics: a survey
10.1177/0278364913495721 · 2013 · External reference
Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates
2017 · External reference
Deep reinforcement learning framework for autonomous driving
10.2352/issn.2470-1173.2017.19.avm-023 · 2017 · External reference
Scalable end-to-end autonomous vehicle testing via rare-event simulation
2018 · External reference
Reinforcement learning and deep learning based lateral control for autonomous driving [application notes]
10.1109/mci.2019.2901089 · 2019 · External reference
Challenges of real-world reinforcement learning
2019 · External reference
Smart gridthe new and improved power grid: asurvey
10.1109/surv.2011.101911.00087 · 2011 · External reference
Lessons learned from electricity market liberalization
2008 · External reference
Microgrids
2002 · External reference
Assessing the potential of network reconfiguration to improve distributed generation hosting capacity in active distribution systems
10.1109/tpwrs.2014.2320895 · 2014 · External reference
Sustaining electric vehicle market growth in us cities
2016 · External reference
Battery energy storage technology for power systemsan overview
10.1016/j.epsr.2008.09.017 · 2009 · External reference
Renewable power-to-gas: a technological and economic review
10.1016/j.renene.2015.07.066 · 2016 · External reference
Active network management for electrical distribution systems: problem formulation, benchmark, and approximate solution
10.1007/s11081-016-9339-9 · 2017 · External reference
Dynamic optimal power flow for active distribution networks
10.1109/tpwrs.2013.2279263 · 2013 · External reference
Openai gym
2016 · External reference
Proximal policy optimization algorithms
2017 · External reference
Soft actor-critic: off-policy maximum entropy deep reinforcement learning with a stochastic actor
2018 · External reference
Unresolved reference
2013 · External reference
Contribution lȨtude du dispatching Ȩconomique
1962 · External reference
Optimal power flow: a bibliographic survey I
10.1007/s12667-012-0056-y · 2012 · External reference
Optimal power flow: a bibliographic survey II
10.1007/s12667-012-0057-x · 2012 · External reference
On voltage collapse in electric power systems
10.1109/59.54571 · 1990 · External reference
Unresolved reference
External reference
Matpower: steady-state operations, planning, and analysis tools for power systems research and education
10.1109/tpwrs.2010.2051168 · 2010 · External reference
Reactive power capability of wind turbines based on doubly fed induction generators
10.1109/tec.2010.2081365 · 2010 · External reference
Optimal power flow by newton approach
10.1109/tpas.1984.318284 · 1984 · External reference
CVXPY: a python-embedded modeling language for convex optimization
2016 · External reference
A rewriting system for convex optimization problems
10.1080/23307706.2017.1397554 · 2018 · External reference
