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Exploring Pessimism and Optimism Dynamics in Deep Reinforcement Learning

Exploring Pessimism and Optimism Dynamics in Deep Reinforcement Learning

6 June 2024
Bahareh Tasdighi
Nicklas Werge
Yi-Shan Wu
M. Kandemir
ArXivPDFHTML

Papers citing "Exploring Pessimism and Optimism Dynamics in Deep Reinforcement Learning"

6 / 6 papers shown
Title
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
96
42,038
0
03 Dec 2019
Statistics and Samples in Distributional Reinforcement Learning
Statistics and Samples in Distributional Reinforcement Learning
Mark Rowland
Robert Dadashi
Saurabh Kumar
Rémi Munos
Marc G. Bellemare
Will Dabney
OffRL
29
89
0
21 Feb 2019
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
54
226
0
06 Dec 2018
Reinforcement Learning with Deep Energy-Based Policies
Reinforcement Learning with Deep Energy-Based Policies
Tuomas Haarnoja
Haoran Tang
Pieter Abbeel
Sergey Levine
42
1,329
0
27 Feb 2017
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
88
7,590
0
22 Sep 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
127
13,174
0
09 Sep 2015
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