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Smaller World Models for Reinforcement Learning

Smaller World Models for Reinforcement Learning

12 October 2020
Jan Robine
Tobias Uelwer
Stefan Harmeling
    DRL
ArXivPDFHTML

Papers citing "Smaller World Models for Reinforcement Learning"

2 / 2 papers shown
Title
Evaluating the progress of Deep Reinforcement Learning in the real
  world: aligning domain-agnostic and domain-specific research
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
J. Luis
E. Crawley
B. Cameron
OffRL
25
6
0
07 Jul 2021
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
230
7,903
0
13 Jun 2015
1