activity
20242026
most citedWFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2026

Proportional dispatch and fairness in wind farm power tracking

Baptiste Corban, Ana Bušić, Donatien Dubuc +1

Controlling the power output of a wind farm to track a target signal enables contributing to the power grid stability. This can be achieved by dividing the target signal into indiv…

cs.LG2026

Structural Equivalence and Learning Dynamics in Delayed MARL

Jules Sintes, Ana Bušić, Jiamin Zhu

We formally establish the equivalence between Observation Delay (OD) and Action Delay (AD) in cooperative partially observable multi-agent systems using observation-action historie…

cs.LG2025★ 1 cited

WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control

Claire Bizon Monroc, Ana Bušić, Donatien Dubuc +1

The wind farm control problem is challenging, since conventional model-based control strategies require tractable models of complex aerodynamical interactions between the turbines…

cs.LG2024

Reinforcement Learning and Regret Bounds for Admission Control

Lucas Weber, Ana Bušić, Jiamin Zhu

The expected regret of any reinforcement learning algorithm is lower bounded by for undiscounted returns, where is the diameter of the Markov decisi…

math.OC2024

Reinforcement learning based demand charge minimization using energy storage

Lucas Weber, Ana Bušić, Jiamin Zhu

Utilities have introduced demand charges to encourage customers to reduce their demand peaks, since a high peak may cause very high costs for both the utility and the consumer. We…