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Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error
  Feedback

Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback

20 June 2023
Hang Wang
Sen Lin
Junshan Zhang
ArXiv (abs)PDFHTML

Papers citing "Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback"

18 / 18 papers shown
Title
Social Interpretable Reinforcement Learning
Social Interpretable Reinforcement Learning
Leonardo Lucio Custode
Giovanni Iacca
OffRL
195
2
0
27 Jan 2024
Ensemble Bootstrapping for Q-Learning
Ensemble Bootstrapping for Q-Learning
Oren Peer
Chen Tessler
Nadav Merlis
Ron Meir
76
42
0
28 Feb 2021
On the Importance of Hyperparameter Optimization for Model-based
  Reinforcement Learning
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
Bangnig Zhang
Raghunandan Rajan
Luis Pineda
Nathan Lambert
André Biedenkapp
Kurtland Chua
Frank Hutter
Roberto Calandra
109
102
0
26 Feb 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've
  Learned
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned
Julian Ibarz
Jie Tan
Chelsea Finn
Mrinal Kalakrishnan
P. Pastor
Sergey Levine
OffRL
156
533
0
04 Feb 2021
Self-correcting Q-Learning
Self-correcting Q-Learning
Rong Zhu
Mattia Rigotti
38
19
0
02 Dec 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep
  Reinforcement Learning
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Kimin Lee
Michael Laskin
A. Srinivas
Pieter Abbeel
OffRL
60
203
0
09 Jul 2020
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning
Qingfeng Lan
Yangchen Pan
Alona Fyshe
Martha White
65
179
0
16 Feb 2020
Planning with Goal-Conditioned Policies
Planning with Goal-Conditioned Policies
Soroush Nasiriany
Vitchyr H. Pong
Steven Lin
Sergey Levine
OffRL
140
219
0
19 Nov 2019
When to Trust Your Model: Model-Based Policy Optimization
When to Trust Your Model: Model-Based Policy Optimization
Michael Janner
Justin Fu
Marvin Zhang
Sergey Levine
OffRL
98
956
0
19 Jun 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
Aviral Kumar
Justin Fu
George Tucker
Sergey Levine
OffRLOnRL
132
1,066
0
03 Jun 2019
Off-Policy Deep Reinforcement Learning without Exploration
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto
David Meger
Doina Precup
OffRLBDL
234
1,624
0
07 Dec 2018
Deep Reinforcement Learning and the Deadly Triad
Deep Reinforcement Learning and the Deadly Triad
H. V. Hasselt
Yotam Doron
Florian Strub
Matteo Hessel
Nicolas Sonnerat
Joseph Modayil
OffRL
81
230
0
06 Dec 2018
Addressing Function Approximation Error in Actor-Critic Methods
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
180
5,204
0
26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
314
8,396
0
04 Jan 2018
Averaged-DQN: Variance Reduction and Stabilization for Deep
  Reinforcement Learning
Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning
Oron Anschel
Nir Baram
N. Shimkin
78
317
0
07 Nov 2016
Why Deep Neural Networks for Function Approximation?
Why Deep Neural Networks for Function Approximation?
Shiyu Liang
R. Srikant
132
385
0
13 Oct 2016
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
170
7,658
0
22 Sep 2015
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
127
12,261
0
19 Dec 2013
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