Artificial Intelligence, Machine Learning, Data Science, Reinforcement Learning, OpenAI.
states.append(state) actions.append(action) rewards.append(reward) next_states.append(next_state) dones.append(1 if done else 0) state = next_state # End the episode if the environment is done if done: done=False break if count>n: count=0 # Convert the lists of states, actions, and discounted