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Multi-Agent Reinforcement Learning for Power Grid Topology Optimization
Recent challenges in operating power networks arise from increasing energy demands and unpredictable renewable sources like wind and solar.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
RangL: A Reinforcement Learning Competition Platform
The RangL project hosted by The Alan Turing Institute aims to encourage the wider uptake of reinforcement learning by supporting competitions relating to real-world dynamic decision problems.
