Knows what it knows: a framework for self-aware learning

One of the key problems in reinforcement learning (RL) is balancing exploration and exploitation. Another is learning and acting in large Markov decision processes (MDPs) where compact function approximation has to be used. This paper introduces REKWIRE,...

We introduce a learning framework that combines elements of the well-known PAC and mistake-bound models. The KWIK (knows what it knows) framework was designed particularly for its utility in learning settings where active exploration can impact the ...

Reinforcement learning (RL) is a machine learning technique aiming to learn how to take actions in an environment to maximize some kind of reward. Recent research has shown that although the learning efficiency of RL can be improved with expert ...