std::vector<torch::jit::IValue> generate_binary_vector_representation(uint32_t n_agents, uint32_t n_tasks)
	{
		// This is a ridiculous way of setting the elements' values,
		// but I couldn't find a better way to do it. Feel free to replace this
		// with something more efficient, since this is really damn costly.

		std::vector<int> vector_representation; vector_representation.reserve(n_agents * n_tasks);
		for (uint32_t agent_j = 0; agent_j < n_agents; agent_j++)
		{
			for (uint32_t task_i = 0; task_i < n_tasks; task_i++)
			{
				if (is_agent_in_coalition(agent_j, task_i))
				{
					vector_representation.push_back(1.0f);
				}
				else
				{
					vector_representation.push_back(0.0f);
				}
			}
		}

		torch::Tensor tensor = torch::from_blob(vector_representation.data(), { 1, n_agents * n_tasks });
		return std::vector<torch::jit::IValue>{std::move(tensor)};
	}