Towards Characterizing Divergence in Deep Q-Learning

Joshua Achiam, Ethan Knight, Pieter Abbeel

Deep Q-Learning (DQL), a family of temporal difference algorithms for control, employs three techniques collectively known as the `deadly triad' in reinforcement learning: bootstra…