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Boosting Soft Actor-Critic: Emphasizing Recent Experience without
  Forgetting the Past

Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past

10 June 2019
Che Wang
George Andriopoulos
ArXivPDFHTML

Papers citing "Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past"

24 / 24 papers shown
Title
Curiosity-Driven Experience Prioritization via Density Estimation
Curiosity-Driven Experience Prioritization via Density Estimation
Rui Zhao
Volker Tresp
99
54
0
20 Feb 2019
Soft Actor-Critic Algorithms and Applications
Soft Actor-Critic Algorithms and Applications
Tuomas Haarnoja
Aurick Zhou
Kristian Hartikainen
George Tucker
Sehoon Ha
...
Vikash Kumar
Henry Zhu
Abhishek Gupta
Pieter Abbeel
Sergey Levine
133
2,425
0
13 Dec 2018
Remember and Forget for Experience Replay
Remember and Forget for Experience Replay
G. Novati
Petros Koumoutsakos
OffRL
63
90
0
16 Jul 2018
Distributed Prioritized Experience Replay
Distributed Prioritized Experience Replay
Dan Horgan
John Quan
David Budden
Gabriel Barth-Maron
Matteo Hessel
H. V. Hasselt
David Silver
147
740
0
02 Mar 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
172
5,182
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
296
8,334
0
04 Jan 2018
ViZDoom: DRQN with Prioritized Experience Replay, Double-Q Learning, &
  Snapshot Ensembling
ViZDoom: DRQN with Prioritized Experience Replay, Double-Q Learning, & Snapshot Ensembling
Christopher Schulze
Marcus Schulze
105
32
0
03 Jan 2018
Rainbow: Combining Improvements in Deep Reinforcement Learning
Rainbow: Combining Improvements in Deep Reinforcement Learning
Matteo Hessel
Joseph Modayil
H. V. Hasselt
Tom Schaul
Georg Ostrovski
Will Dabney
Dan Horgan
Bilal Piot
M. G. Azar
David Silver
OffRL
107
2,264
0
06 Oct 2017
Deep Reinforcement Learning that Matters
Deep Reinforcement Learning that Matters
Peter Henderson
Riashat Islam
Philip Bachman
Joelle Pineau
Doina Precup
David Meger
OffRL
116
1,951
0
19 Sep 2017
Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for
  Continuous Control
Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control
Riashat Islam
Peter Henderson
Maziar Gomrokchi
Doina Precup
BDL
OffRL
75
252
0
10 Aug 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
478
19,019
0
20 Jul 2017
Trust-PCL: An Off-Policy Trust Region Method for Continuous Control
Trust-PCL: An Off-Policy Trust Region Method for Continuous Control
Ofir Nachum
Mohammad Norouzi
Kelvin Xu
Dale Schuurmans
56
106
0
06 Jul 2017
Hindsight Experience Replay
Hindsight Experience Replay
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
248
2,326
0
05 Jul 2017
Reinforcement Learning with Deep Energy-Based Policies
Reinforcement Learning with Deep Energy-Based Policies
Tuomas Haarnoja
Haoran Tang
Pieter Abbeel
Sergey Levine
100
1,340
0
27 Feb 2017
Sample Efficient Actor-Critic with Experience Replay
Sample Efficient Actor-Critic with Experience Replay
Ziyun Wang
V. Bapst
N. Heess
Volodymyr Mnih
Rémi Munos
Koray Kavukcuoglu
Nando de Freitas
97
761
0
03 Nov 2016
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRL
ODL
214
5,075
0
05 Jun 2016
Benchmarking Deep Reinforcement Learning for Continuous Control
Benchmarking Deep Reinforcement Learning for Continuous Control
Yan Duan
Xi Chen
Rein Houthooft
John Schulman
Pieter Abbeel
OffRL
79
1,693
0
22 Apr 2016
Continuous Deep Q-Learning with Model-based Acceleration
Continuous Deep Q-Learning with Model-based Acceleration
S. Gu
Timothy Lillicrap
Ilya Sutskever
Sergey Levine
89
1,012
0
02 Mar 2016
Dueling Network Architectures for Deep Reinforcement Learning
Dueling Network Architectures for Deep Reinforcement Learning
Ziyun Wang
Tom Schaul
Matteo Hessel
H. V. Hasselt
Marc Lanctot
Nando de Freitas
OffRL
91
3,755
0
20 Nov 2015
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
214
3,787
0
18 Nov 2015
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
167
7,639
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
318
13,237
0
09 Sep 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
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
125
12,227
0
19 Dec 2013
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