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Novelty Search for Deep Reinforcement Learning Policy Network Weights by
  Action Sequence Edit Metric Distance

Novelty Search for Deep Reinforcement Learning Policy Network Weights by Action Sequence Edit Metric Distance

8 February 2019
Ethan C. Jackson
Mark Daley
ArXivPDFHTML

Papers citing "Novelty Search for Deep Reinforcement Learning Policy Network Weights by Action Sequence Edit Metric Distance"

3 / 3 papers shown
Title
Measuring Diversity of Game Scenarios
Measuring Diversity of Game Scenarios
Yuchen Li
Ziqi Wang
Qingquan Zhang
Jialin Liu
J. Liu
63
2
0
17 Jan 2025
Acceleration for Deep Reinforcement Learning using Parallel and
  Distributed Computing: A Survey
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey
Zhihong Liu
Xin Xu
Peng Qiao
Dongsheng Li
OffRL
20
2
0
08 Nov 2024
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User
  Experiences in Recommender Systems
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems
Changshuo Zhang
Sirui Chen
Xiao Zhang
Sunhao Dai
Weijie Yu
Jun Xu
OffRL
26
1
0
17 Jan 2024
1