Env.render() returns the observation of each agent in the environment. This observation is used to choose the best policy in q-learing. However the env.render() returns an array of arrays containing 2-dim arrays with values I do not understand. Is there anyone who can clarify this to me? How could these observations be used to conduct q-learning?
Env.render() returns the observation of each agent in the environment. This observation is used to choose the best policy in q-learing. However the env.render() returns an array of arrays containing 2-dim arrays with values I do not understand. Is there anyone who can clarify this to me? How could these observations be used to conduct q-learning?