Reinforcement Learning and Deep RL Python Theory and Projects - Random Actions

What is the first step in setting up a reinforcement learning environment?

• Reset the environment

• Initialize the reward system

• Define the action space

• Start the training process

What does the environment step function return?

• Only the reward

• The next state, reward, done variable, and info

• The next state and reward

• Only the next state

What is the purpose of using Matplotlib in the context of this tutorial?

• To calculate rewards

• To define the action space

• To visualize the environment and actions

• To reset the environment

How is profit interpreted in the context of this trading bot?

• Profit equal to one indicates neutrality

• Profit above one indicates loss

• Profit below one indicates profit

• Profit above one indicates neutrality

What was the main issue with the trading bot's actions?

• It bought stocks at the bottom

• It achieved a high reward

• It made random actions without logic

• It sold stocks at the peak