A Comparative Analysis of Expected and Distributional Reinforcement
Learning

A Comparative Analysis of Expected and Distributional Reinforcement Learning

30 January 2019

Pablo Samuel Castro

Marc G. Bellemare

Papers citing "A Comparative Analysis of Expected and Distributional Reinforcement Learning"

11 / 11 papers shown

Title
CTD4 -- A Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics David Valencia Henry Williams Trevor Gee Bruce A MacDonaland Minas V. Liarokapis Minas Liarokapis OffRL 47 2 0 04 May 2024
Bag of Policies for Distributional Deep Exploration Asen Nachkov Luchen Li Giulia Luise Filippo Valdettaro Aldo A. Faisal OffRL 53 0 0 03 Aug 2023
Towards a Better Understanding of Representation Dynamics under TD-learning Yunhao Tang Rémi Munos OffRL 34 2 0 29 May 2023
Distributional GFlowNets with Quantile Flows Dinghuai Zhang L. Pan Ricky T. Q. Chen Aaron Courville Yoshua Bengio 41 25 0 11 Feb 2023
Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds Hao Liang Zhihui Luo 33 14 0 25 Oct 2022
Conservative Offline Distributional Reinforcement Learning Yecheng Jason Ma Dinesh Jayaraman Osbert Bastani OffRL 73 79 0 12 Jul 2021
Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning Research J. Obando-Ceron Pablo Samuel Castro OffRL 25 105 0 20 Nov 2020
Policy Evaluation Networks J. Harb Tom Schaul Doina Precup Pierre-Luc Bacon OffRL 25 36 0 26 Feb 2020
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors Jingliang Duan Yang Guan Shengbo Eben Li Yangang Ren B. Cheng OffRL 25 174 0 09 Jan 2020
Statistics and Samples in Distributional Reinforcement Learning Mark Rowland Robert Dadashi Saurabh Kumar Rémi Munos Marc G. Bellemare Will Dabney OffRL 29 88 0 21 Feb 2019
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 48 555 0 12 Oct 2018