Maximizing Information Gain in Partially Observable Environments via Prediction Reward

Yash Satsangi, Sungsu Lim, Shimon Whiteson +2

Information gathering in a partially observable environment can be formulated as a reinforcement learning (RL), problem where the reward depends on the agent's uncertainty. For exa…