The Impact of Data Distribution on Q-learning with Function
Approximation

The Impact of Data Distribution on Q-learning with Function Approximation

23 November 2021

Pedro P. Santos

Diogo S. Carvalho

Alberto Sardinha

Francisco S. Melo

Papers citing "The Impact of Data Distribution on Q-learning with Function Approximation"

14 / 14 papers shown

Title
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning Rongjun Qin Songyi Gao Xingyuan Zhang Zhen Xu Shengkai Huang Zewen Li Weinan Zhang Yang Yu OffRL 186 82 0 01 Feb 2021
Breaking the Deadly Triad with a Target Network Shangtong Zhang Hengshuai Yao Shimon Whiteson AAML 42 45 0 21 Jan 2021
Batch Value-function Approximation with Only Realizability Tengyang Xie Nan Jiang OffRL 353 121 0 11 Aug 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 131 1,809 0 08 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 108 226 0 01 Jun 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 210 1,364 0 15 Apr 2020
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction Aviral Kumar Abhishek Gupta Sergey Levine OffRL 44 101 0 16 Mar 2020
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction Aviral Kumar Justin Fu George Tucker Sergey Levine OffRL OnRL 109 1,054 0 03 Jun 2019
Information-Theoretic Considerations in Batch Reinforcement Learning Jinglin Chen Nan Jiang OOD OffRL 145 375 0 01 May 2019
Diagnosing Bottlenecks in Deep Q-learning Algorithms Justin Fu Aviral Kumar Matthew Soh Sergey Levine OffRL 70 142 0 26 Feb 2019
Deep Reinforcement Learning and the Deadly Triad H. V. Hasselt Yotam Doron Florian Strub Matteo Hessel Nicolas Sonnerat Joseph Modayil OffRL 76 230 0 06 Dec 2018
The Utility of Sparse Representations for Control in Reinforcement Learning Vincent Liu Raksha Kumaraswamy Lei Le Martha White 50 61 0 15 Nov 2018
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 312 13,214 0 09 Sep 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 117 12,223 0 19 Dec 2013