Why Deep Reinforcement Learning Can Help Improve Trading Efficiency

What is Deep Reinforcement Learning?

*at least in theory

Deep Reinforcement Learning in Practice

Source: DeepMind (https://deepmind.com/blog/deep-reinforcement-learning/)
A video that illustrates the improvement in the performance of DQN after 100, 200, 400 and 600 training scenarios. Source: DeepMind
Emergence of Locomotion Behaviours in Rich Environment: https://arxiv.org/pdf/1707.02286.pdf
Souce: Pixelart

Deep Reinforcement Learning in Trading

1. Agent

2. Environment

3. State

4. Reward

Why Deep Reinforcement Learning Can Help Improve Trading Efficiency

Are we there yet?

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