Before revision:  We propose a model-free approach by training Reinforcement Learning (RL) agents in a realistic market simulation environment with multiple agents.
After revision:  In this paper, we propose a model-free approach by training Reinforcement Learning (RL) agents in a realistic market simulation environment with multiple agents.