Diagnosing Bottlenecks in Deep Q-learning Algorithms

1 code implementation • 26 Feb 2019 • Justin Fu, Aviral Kumar, Matthew Soh, Sergey Levine

Q-learning methods represent a commonly used class of algorithms in reinforcement learning: they are generally efficient and simple, and can be combined readily with function approximators for deep reinforcement learning (RL).

Continuous Control Q-Learning +2