3 papers
cs.MA2026
PowerMarketJax: A JAX Benchmark Suite for Multi-Agent Reinforcement Learning in Power Markets
Zhanhua Pan, Xin Qin, Xiao Liu +3
Power markets are a natural testbed for multi-agent reinforcement learning (MARL), where multiple self-interested participants repeatedly submit bids. A market-clearing mechanism t…
cs.AI2026
PowerZooJax: A JAX-based Power System Benchmark for Reinforcement Learning
Zhanhua Pan, Xiao Liu, Zhilong Cao +2
Power system operation is a safety-critical sequential decision-making problem, making it a natural testbed for reinforcement learning (RL). However, existing RL environments for p…
cs.AI2026
A Dual-Positive Monotone Parameterization for Multi-Segment Bids and a Validity Assessment Framework for Reinforcement Learning Agent-based Simulation of Electricity Markets
Zunnan Xu, Zhaoxia Jing, Zhanhua Pan
Reinforcement learning agent-based simulation (RL-ABS) has become an important tool for electricity market mechanism analysis and evaluation. In the modeling of monotone, bounded,…