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Leveraging Knowledge Graph-Based Human-Like Memory Systems to Solve
  Partially Observable Markov Decision Processes
v1v2 (latest)

Leveraging Knowledge Graph-Based Human-Like Memory Systems to Solve Partially Observable Markov Decision Processes

11 August 2024
Taewoon Kim
Vincent François-Lavet
Michael Cochez
    RALM
ArXiv (abs)PDFHTML

Papers citing "Leveraging Knowledge Graph-Based Human-Like Memory Systems to Solve Partially Observable Markov Decision Processes"

13 / 13 papers shown
Title
A Machine with Short-Term, Episodic, and Semantic Memory Systems
A Machine with Short-Term, Episodic, and Semantic Memory Systems
Taewoon Kim
Michael Cochez
Vincent Franccois-Lavet
Mark Antonius Neerincx
Piek Vossen
73
5
0
05 Dec 2022
Learning What to Memorize: Using Intrinsic Motivation to Form Useful
  Memory in Partially Observable Reinforcement Learning
Learning What to Memorize: Using Intrinsic Motivation to Form Useful Memory in Partially Observable Reinforcement Learning
Alper Demir
104
3
0
25 Oct 2021
Memory-based Deep Reinforcement Learning for POMDPs
Memory-based Deep Reinforcement Learning for POMDPs
Lingheng Meng
R. Gorbet
Dana Kulic
89
99
0
24 Feb 2021
Episodic Memory Reader: Learning What to Remember for Question Answering
  from Streaming Data
Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data
Moonsu Han
Minki Kang
Hyunwoo Jung
Sung Ju Hwang
RALM
61
19
0
14 Mar 2019
Integrating Episodic Memory into a Reinforcement Learning Agent using
  Reservoir Sampling
Integrating Episodic Memory into a Reinforcement Learning Agent using Reservoir Sampling
Kenny Young
R. Sutton
Shuo Yang
53
10
0
01 Jun 2018
Episodic Memory Deep Q-Networks
Episodic Memory Deep Q-Networks
Zichuan Lin
Tianqi Zhao
Guangwen Yang
Lintao Zhang
OffRL
53
86
0
19 May 2018
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in
  Knowledge Bases using Reinforcement Learning
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
Rajarshi Das
Shehzaad Dhuliawala
Manzil Zaheer
Luke Vilnis
Ishan Durugkar
A. Krishnamurthy
Alex Smola
Andrew McCallum
KELM
101
513
0
15 Nov 2017
On overfitting and asymptotic bias in batch reinforcement learning with
  partial observability
On overfitting and asymptotic bias in batch reinforcement learning with partial observability
Vincent François-Lavet
Guillaume Rabusseau
Joelle Pineau
D. Ernst
R. Fonteneau
OffRL
61
34
0
22 Sep 2017
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
Wenhan Xiong
Thi-Lan-Giao Hoang
William Yang Wang
95
728
0
20 Jul 2017
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
3,769
0
20 Nov 2015
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
175
7,665
0
22 Sep 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
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
132
12,272
0
19 Dec 2013
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