424 citations · 1.3k across the 19 of their papers we have counts for
3 papers · 1 filter
Off-policy Distributional Q(): Distributional RL without Importance Sampling
Yunhao Tang, Mark Rowland, Rémi Munos +2
We introduce off-policy distributional Q(), a new addition to the family of off-policy distributional evaluation algorithms. Off-policy distributional Q() does not apply impo…
A Distributional Analogue to the Successor Representation
Harley Wiltzer, Jesse Farebrother, Arthur Gretton +5
This paper contributes a new approach for distributional reinforcement learning which elucidates a clean separation of transition structure and reward in the learning process. Anal…
Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model
Mark Rowland, Li Kevin Wenliang, Rémi Munos +3
We propose a new algorithm for model-based distributional reinforcement learning (RL), and prove that it is minimax-optimal for approximating return distributions with a generative…