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You can view the result section of this tutorial https://github.com/AI4Finance-Foundation/FinRL/blob/master/FinRL_StockTrading_NeurIPS_2018.ipynb. Here we compared our RL model with S&P500. You can also try it on your own to see the results
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- FinRL: NEW Deep Learning And Reinforcement Learning - star count:8407.0
- FinRL-Library: started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/)
- FinRL-Library: started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/)