Chapter 4: Reinforcement Learning in the Real World – Building Cryptocurrency Trading Agents
Deep reinforcement learning (deep RL) agents have a lot of potential when it comes to solving challenging problems in the real world and a lot of opportunities exist. However, only a few successful stories of using deep RL agents in the real world beyond games exist due to the various challenges associated with real-world deployments of RL agents. This chapter contains recipes that will help you successfully develop RL agents for an interesting and rewarding real-world problem: cryptocurrency trading. The recipes in this chapter contain information on how to implement custom OpenAI Gym-compatible learning environments for cryptocurrency trading with ...
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