"learn policy" is a correct and usable phrase in written English.
It can be used when talking about learning or studying a set of rules, regulations, or guidelines that guide decision-making or behavior in a particular situation or organization. Example: "New employees are required to attend a training session to learn the company's policies on workplace safety and ethics."
As soon the great election maelstrom begins, we learn policies, if only to test newbies and try to catch them out.
The show's famous "No hugging, no learning" policy meant that the characters didn't evolve in the same way that other sitcom characters do; they eagerly spun in their own hamster wheels.
His research focuses on digital technology and education policy, and his latest book is Big Data in Education: The digital future of learning, policy and practice.
Here on arriving at a better optimal policy, all the previously learned policy paths including the latest that are covered are ignored and a new policy which is sub-optimal but is presently optimal is learned.
This poses the question of whether we learning researchers and learning policy makers too easily assume that teachers are intrinsically motivated to engage in the transition from conduit to designers.
Nevertheless, in the learning network processes, there are issues of learning policies and programs (Poell et al. 2000; Van der Krogt, 1998).
In this example, the student's expectations greatly surpassed the institutional time and resource provision conveyed in university online learning policies.
Reinforcement learning (RL) and learning from demonstration (LfD) are two popular families of algorithms for learning policies for sequential decision problems, but they are often ineffective in high-dimensional domains unless provided with either a great deal of problem-specific domain information or a carefully crafted representation of the state and dynamics of the world.
Lastly, monitoring and learning policies during an "Adaptive phase" would promote using flexible management rules to react and adjust to any early alerts, positive or negative, as hybridization with local individuals may represent an evolutionary chance.
We need to rally Americans around early learning policies that focus specifically on babies and toddlers.
