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Found 3 papers, 2 papers with code
Reinforcement Learning Based Power Grid Day-Ahead Planning and AI-Assisted Control
The ongoing transition to renewable energy is increasing the share of fluctuating power sources like wind and solar, raising power grid volatility and making grid operation increasingly complex and costly.
Power Grid Congestion Management via Topology Optimization with AlphaZero
Unfortunately, redispatching of fossil generators leads to excessive grid operation costs and higher emissions, which is in direct opposition to the decarbonization of the energy sector.
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution
For such complex tasks, the recently proposed RUDDER uses reward redistribution to leverage steps in the Q-function that are associated with accomplishing sub-tasks.
General Reinforcement Learning
Multiple Sequence Alignment
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