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Prioritized Experience Replay
v1v2v3v4 (latest)

Prioritized Experience Replay

18 November 2015
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Prioritized Experience Replay"

50 / 1,454 papers shown
Title
Prioritized offline Goal-swapping Experience Replay
Prioritized offline Goal-swapping Experience Replay
Wenyan Yang
Joni Pajarinen
Dinging Cai
Joni Kämäräinen
OffRLOnRL
48
0
0
15 Feb 2023
Equivariant MuZero
Equivariant MuZero
Andreea Deac
T. Weber
George Papamakarios
62
4
0
09 Feb 2023
Scaling Goal-based Exploration via Pruning Proto-goals
Scaling Goal-based Exploration via Pruning Proto-goals
Akhil Bagaria
Ray Jiang
Ramana Kumar
Tom Schaul
LRM
59
2
0
09 Feb 2023
Data Selection for Language Models via Importance Resampling
Data Selection for Language Models via Importance Resampling
Sang Michael Xie
Shibani Santurkar
Tengyu Ma
Percy Liang
131
196
0
06 Feb 2023
Efficient Online Reinforcement Learning with Offline Data
Efficient Online Reinforcement Learning with Offline Data
Philip J. Ball
Laura M. Smith
Ilya Kostrikov
Sergey Levine
OffRLOnRL
147
184
0
06 Feb 2023
Sample Dropout: A Simple yet Effective Variance Reduction Technique in
  Deep Policy Optimization
Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization
Zichuan Lin
Xiapeng Wu
Mingfei Sun
Deheng Ye
Qiang Fu
Wei Yang
Wei Liu
105
3
0
05 Feb 2023
Learning, Fast and Slow: A Goal-Directed Memory-Based Approach for
  Dynamic Environments
Learning, Fast and Slow: A Goal-Directed Memory-Based Approach for Dynamic Environments
Tan Chong Min John
Mehul Motani
43
2
0
31 Jan 2023
On the Statistical Benefits of Temporal Difference Learning
On the Statistical Benefits of Temporal Difference Learning
David Cheikhi
Daniel Russo
64
5
0
30 Jan 2023
A Memory Efficient Deep Reinforcement Learning Approach For Snake Game
  Autonomous Agents
A Memory Efficient Deep Reinforcement Learning Approach For Snake Game Autonomous Agents
Md. Rafat Rahman Tushar
Shahnewaz Siddique
33
6
0
27 Jan 2023
DIFFER: Decomposing Individual Reward for Fair Experience Replay in
  Multi-Agent Reinforcement Learning
DIFFER: Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning
Xu Hu
Jian Zhao
Wen-gang Zhou
Ruili Feng
Houqiang Li
62
1
0
25 Jan 2023
Sample-Efficient Multi-Objective Learning via Generalized Policy
  Improvement Prioritization
Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization
L. N. Alegre
A. Bazzan
D. Roijers
Ann Nowé
Bruno C. da Silva
80
30
0
18 Jan 2023
Human-Timescale Adaptation in an Open-Ended Task Space
Human-Timescale Adaptation in an Open-Ended Task Space
Adaptive Agent Team
Jakob Bauer
Kate Baumli
Satinder Baveja
Feryal M. P. Behbahani
...
Jakub Sygnowski
K. Tuyls
Sarah York
Alexander Zacherl
Lei Zhang
LM&RoOffRLAI4CELRM
139
119
0
18 Jan 2023
Adversarial Robust Deep Reinforcement Learning Requires Redefining
  Robustness
Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness
Ezgi Korkmaz
53
29
0
17 Jan 2023
DQNAS: Neural Architecture Search using Reinforcement Learning
DQNAS: Neural Architecture Search using Reinforcement Learning
Anshumaan Chauhan
S. Bhattacharyya
S. Vadivel
OOD
39
3
0
17 Jan 2023
Mastering Diverse Domains through World Models
Mastering Diverse Domains through World Models
Danijar Hafner
J. Pašukonis
Jimmy Ba
Timothy Lillicrap
94
617
0
10 Jan 2023
XDQN: Inherently Interpretable DQN through Mimicking
XDQN: Inherently Interpretable DQN through Mimicking
Andreas Kontogiannis
G. Vouros
112
1
0
08 Jan 2023
Learning a Generic Value-Selection Heuristic Inside a Constraint
  Programming Solver
Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver
Tom Marty
Tristan François
Pierre Tessier
Louis Gautier
Louis-Martin Rousseau
Quentin Cappart
106
7
0
05 Jan 2023
A Succinct Summary of Reinforcement Learning
A Succinct Summary of Reinforcement Learning
S. Ahilan
OffRL
28
0
0
03 Jan 2023
Function Approximation for Solving Stackelberg Equilibrium in Large
  Perfect Information Games
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games
Chun Kai Ling
J. Zico Kolter
Fei Fang
67
0
0
29 Dec 2022
Off-Policy Reinforcement Learning with Loss Function Weighted by
  Temporal Difference Error
Off-Policy Reinforcement Learning with Loss Function Weighted by Temporal Difference Error
Bumgeun Park
Taeyoung Kim
Woohyeon Moon
L. Vecchietti
Dongsoo Har
OffRL
62
2
0
26 Dec 2022
Reward Bonuses with Gain Scheduling Inspired by Iterative Deepening
  Search
Reward Bonuses with Gain Scheduling Inspired by Iterative Deepening Search
Taisuke Kobayashi
82
1
0
21 Dec 2022
Control of Continuous Quantum Systems with Many Degrees of Freedom based
  on Convergent Reinforcement Learning
Control of Continuous Quantum Systems with Many Degrees of Freedom based on Convergent Reinforcement Learning
Zhikang T. Wang
48
0
0
21 Dec 2022
Variance-Reduced Conservative Policy Iteration
Variance-Reduced Conservative Policy Iteration
Naman Agarwal
Brian Bullins
Karan Singh
61
3
0
12 Dec 2022
System Design for an Integrated Lifelong Reinforcement Learning Agent
  for Real-Time Strategy Games
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games
Indranil Sur
Z. Daniels
Abrar Rahman
Kamil Faber
Gianmarco J. Gallardo
...
Roberto Corizzo
Ajay Divakaran
M. Piacentino
Jesse Hostetler
Aswin Raghavan
CLLOffRL
78
4
0
08 Dec 2022
PALMER: Perception-Action Loop with Memory for Long-Horizon Planning
PALMER: Perception-Action Loop with Memory for Long-Horizon Planning
Onur Beker
Mohammad Mohammadi
Amir Zamir
60
3
0
08 Dec 2022
A Rubric for Human-like Agents and NeuroAI
A Rubric for Human-like Agents and NeuroAI
Ida Momennejad
132
14
0
08 Dec 2022
Design and Planning of Flexible Mobile Micro-Grids Using Deep
  Reinforcement Learning
Design and Planning of Flexible Mobile Micro-Grids Using Deep Reinforcement Learning
Cesare Caputo
Michel-Alexandre Cardin
Pudong Ge
Fei Teng
A. Korre
Ehecatl Antonio del Rio Chanona
39
18
0
08 Dec 2022
PowRL: A Reinforcement Learning Framework for Robust Management of Power
  Networks
PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks
A. Chauhan
Mayank Baranwal
Ansuma Basumatary
88
16
0
05 Dec 2022
Learning Physically Realizable Skills for Online Packing of General 3D
  Shapes
Learning Physically Realizable Skills for Online Packing of General 3D Shapes
Hang Zhao
Zherong Pan
Yang Yu
Kai Xu
OffRL
80
15
0
05 Dec 2022
Learning Bifunctional Push-grasping Synergistic Strategy for
  Goal-agnostic and Goal-oriented Tasks
Learning Bifunctional Push-grasping Synergistic Strategy for Goal-agnostic and Goal-oriented Tasks
Dafa Ren
Shuang Wu
Xiaofan Wang
Yan Peng
Xiaoqiang Ren
51
9
0
04 Dec 2022
Embedding Synthetic Off-Policy Experience for Autonomous Driving via
  Zero-Shot Curricula
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula
Eli Bronstein
S. Srinivasan
Supratik Paul
Aman Sinha
Matthew O'Kelly
Payam Nikdel
Shimon Whiteson
OffRL
106
18
0
02 Dec 2022
Towards Improving Exploration in Self-Imitation Learning using Intrinsic
  Motivation
Towards Improving Exploration in Self-Imitation Learning using Intrinsic Motivation
Alain Andres
Esther Villar-Rodriguez
Javier Del Ser
SSL
129
7
0
30 Nov 2022
Automatic Discovery of Multi-perspective Process Model using
  Reinforcement Learning
Automatic Discovery of Multi-perspective Process Model using Reinforcement Learning
Sunghyun Sim
Ling Liu
Hyerim Bae
136
1
0
30 Nov 2022
Automated Play-Testing Through RL Based Human-Like Play-Styles
  Generation
Automated Play-Testing Through RL Based Human-Like Play-Styles Generation
Pierre Le Pelletier de Woillemont
Rémi Labory
Vincent Corruble
TTA
62
9
0
29 Nov 2022
Configurable Agent With Reward As Input: A Play-Style Continuum
  Generation
Configurable Agent With Reward As Input: A Play-Style Continuum Generation
Pierre Le Pelletier de Woillemont
Rémi Labory
Vincent Corruble
49
11
0
29 Nov 2022
Learning from Good Trajectories in Offline Multi-Agent Reinforcement
  Learning
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning
Qiangxing Tian
Kun Kuang
Furui Liu
Baoxiang Wang
OffRL
75
11
0
28 Nov 2022
Double Deep Q-Learning in Opponent Modeling
Double Deep Q-Learning in Opponent Modeling
Yangtianze Tao
J. Doe
50
3
0
24 Nov 2022
Actively Learning Costly Reward Functions for Reinforcement Learning
Actively Learning Costly Reward Functions for Reinforcement Learning
André Eberhard
Houssam Metni
G. Fahland
A. Stroh
Pascal Friederich
OffRL
108
0
0
23 Nov 2022
Representation Learning for Continuous Action Spaces is Beneficial for
  Efficient Policy Learning
Representation Learning for Continuous Action Spaces is Beneficial for Efficient Policy Learning
Tingting Zhao
Ying Wang
Weidong Sun
Yarui Chen
Gang Niu
Masashi Sugiyama
68
1
0
23 Nov 2022
The Surprising Effectiveness of Equivariant Models in Domains with
  Latent Symmetry
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry
Dian Wang
Jung Yeon Park
Neel Sortur
Lawson L. S. Wong
Robin Walters
Robert Platt
AAML
100
36
0
16 Nov 2022
Deep Reinforcement Learning for Combined Coverage and Resource
  Allocation in UAV-aided RAN-slicing
Deep Reinforcement Learning for Combined Coverage and Resource Allocation in UAV-aided RAN-slicing
Lorenzo Bellone
Boris Galkin
Emiliano Traversi
E. Natalizio
30
9
0
15 Nov 2022
General Intelligence Requires Rethinking Exploration
General Intelligence Requires Rethinking Exploration
Minqi Jiang
Tim Rocktaschel
Edward Grefenstette
LRM
83
20
0
15 Nov 2022
Hierarchically Structured Task-Agnostic Continual Learning
Hierarchically Structured Task-Agnostic Continual Learning
Heinke Hihn
Daniel A. Braun
BDLCLL
93
9
0
14 Nov 2022
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges
Yunpeng Qing
Shunyu Liu
Mingli Song
Huiqiong Wang
Mingli Song
XAI
93
1
0
12 Nov 2022
Global and Local Analysis of Interestingness for Competency-Aware Deep
  Reinforcement Learning
Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning
Pedro Sequeira
Jesse Hostetler
Melinda Gervasio
51
0
0
11 Nov 2022
Active Task Randomization: Learning Robust Skills via Unsupervised
  Generation of Diverse and Feasible Tasks
Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks
Kuan Fang
Toki Migimatsu
Ajay Mandlekar
Li Fei-Fei
Jeannette Bohg
86
2
0
11 Nov 2022
Deep W-Networks: Solving Multi-Objective Optimisation Problems With Deep
  Reinforcement Learning
Deep W-Networks: Solving Multi-Objective Optimisation Problems With Deep Reinforcement Learning
Jernej Hribar
Luke Hackett
Ivana Dusparic
OffRL
53
1
0
09 Nov 2022
Learning to Follow Instructions in Text-Based Games
Learning to Follow Instructions in Text-Based Games
Mathieu Tuli
Andrew C. Li
Pashootan Vaezipoor
Toryn Q. Klassen
Scott Sanner
Sheila A. McIlraith
79
13
0
08 Nov 2022
Simulation-Based Parallel Training
Simulation-Based Parallel Training
Lucas Meyer
Alejandro Ribés
Bruno Raffin
AI4CE
70
2
0
08 Nov 2022
Graph Reinforcement Learning Application to Co-operative Decision-Making
  in Mixed Autonomy Traffic: Framework, Survey, and Challenges
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges
Qi Liu
Xueyuan Li
Zirui Li
Jingda Wu
Guodong Du
Xinlu Gao
Fan Yang
Shihua Yuan
77
8
0
06 Nov 2022
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