To Distill or Decide? Understanding the Algorithmic Trade-off in Partially Observable Reinforcement Learning

Yuda Song, Dhruv Rohatgi, Aarti Singh +1

Partial observability is a notorious challenge in reinforcement learning (RL), due to the need to learn complex, history-dependent policies. Recent empirical successes have used pr…