Exploration via Planning for Information about the Optimal Trajectory

Viraj Mehta, Ian Char, Joseph Abbate +5

Many potential applications of reinforcement learning (RL) are stymied by the large numbers of samples required to learn an effective policy. This is especially true when applying…