def compute_reward(processed_state, llm_actions, actions):
    """
    Calculate rewards based on the tasks assigned and their outcomes.
    
    Args:
        processed_state: returned from function process_state(state, p, f)
        llm_actions (dict): dictionary of list of integers which means the suggest actions from llm for each agent. E.g. {"agent_0": [2,3], "agent_1": [4],...}
        actions (dict): dictionary of a integer action that actually perform by each agent. E.g. {"agent_0": 2, "agent_1": 4, ...}

        **Note: the index of this action space is {Noop, Move North, Move South, Move West, Move East, Pickup}**
        
    Returns:
        reward: Dict containing rewards for each agent. For example: {'agent_0': reward1, 'agent_1', reward2, ...}
    """
    ...
    return reward