Complete the code to initialize an agent's memory as an empty list.
agent_memory = [1]The agent's memory should start as an empty list to store past interactions.
Complete the code to add a new state entry to the agent's memory list.
agent_memory.[1](new_state)Use append to add a single new state to the end of the memory list.
Fix the error in the code to retrieve the last state from the agent's memory.
last_state = agent_memory[1]Using [-1] accesses the last item in the list, which is the most recent state.
Fill both blanks to update the agent's current state and save it in memory.
current_state = [1] agent_memory.[2](current_state)
First, get the new state using get_new_state(), then add it to memory with append.
Fill all three blanks to create a dictionary of states with their timestamps and filter recent states.
state_log = [1]: [2] for [3] in agent_memory if [2]['timestamp'] > cutoff_time
This dictionary comprehension uses the state's id as key, the full state as value, and iterates over each state in memory.