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Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire
  Evacuation Environment

Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment

23 May 2019
Jivitesh Sharma
Per-Arne Andersen
Ole-Christoffer Granmo
M. G. Olsen
    AI4CE
ArXivPDFHTML

Papers citing "Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment"

8 / 8 papers shown
Title
SwiftRL: Towards Efficient Reinforcement Learning on Real
  Processing-In-Memory Systems
SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems
Kailash Gogineni
Sai Santosh Dayapule
Juan Gómez Luna
Karthikeya Gogineni
Peng Wei
Tian-Shing Lan
Mohammad Sadrosadati
Onur Mutlu
Guru Venkataramani
50
11
0
07 May 2024
Agent-Aware Training for Agent-Agnostic Action Advising in Deep
  Reinforcement Learning
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning
Yaoquan Wei
Shunyu Liu
Mingli Song
Tongya Zheng
Kaixuan Chen
Yong Wang
Mingli Song
25
0
0
28 Nov 2023
Directly Attention Loss Adjusted Prioritized Experience Replay
Directly Attention Loss Adjusted Prioritized Experience Replay
Zhuoying Chen
Huiping Li
Zhaoxu Wang
28
1
0
24 Nov 2023
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning
Xin Liu
Yaran Chen
Haoran Li
Boyu Li
Dong Zhao
SSL
66
10
0
11 Feb 2023
Deep reinforcement learning with a particle dynamics environment applied
  to emergency evacuation of a room with obstacles
Deep reinforcement learning with a particle dynamics environment applied to emergency evacuation of a room with obstacles
Yihao Zhang
Zhaojie Chai
G. Lykotrafitis
18
29
0
30 Nov 2020
Crowd simulation for crisis management: the outcomes of the last decade
Crowd simulation for crisis management: the outcomes of the last decade
George K. Sidiropoulos
C. Kiourt
Lefteris Moussiades
25
19
0
01 Jun 2020
Large scale distributed neural network training through online
  distillation
Large scale distributed neural network training through online distillation
Rohan Anil
Gabriel Pereyra
Alexandre Passos
Róbert Ormándi
George E. Dahl
Geoffrey E. Hinton
FedML
278
404
0
09 Apr 2018
Learning to Run challenge: Synthesizing physiologically accurate motion
  using deep reinforcement learning
Learning to Run challenge: Synthesizing physiologically accurate motion using deep reinforcement learning
L. Kidzinski
Sharada Mohanty
Carmichael F. Ong
Jennifer Hicks
Sean F. Carroll
Sergey Levine
M. Salathé
Scott L. Delp
32
60
0
31 Mar 2018
1