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cs.LG2024★ 1 cited
Learning a local trading strategy: deep reinforcement learning for grid-scale renewable energy integration
Caleb Ju, Constance Crozier
Variable renewable generation increases the challenge of balancing power supply and demand. Grid-scale batteries co-located with generation can help mitigate this misalignment. Thi…
cs.LG2024
Strongly-polynomial time and validation analysis of policy gradient methods
Caleb Ju, Guanghui Lan
This paper proposes a novel termination criterion, termed the advantage gap function, for finite state and action Markov decision processes (MDP) and reinforcement learning (RL). B…