Hands-On Intelligent Agents with OpenAI Gym

Gathering n-step experiences using the current policy

The next step is to perform what are called rollouts using the current policy of the agent to collect n number of transitions. This process is basically letting the agent interact with the environment and generating new experiences in terms of state transitions, usually represented as a tuple containing the state, action, reward obtained, and next state, or in short (, , , ), as illustrated ...