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Striving for Simplicity and Performance in Off-Policy DRL: Output
  Normalization and Non-Uniform Sampling

Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling

5 October 2019
Che Wang
Yanqiu Wu
Q. Vuong
Keith Ross
ArXivPDFHTML

Papers citing "Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling"

2 / 2 papers shown
Title
Testing of Deep Reinforcement Learning Agents with Surrogate Models
Testing of Deep Reinforcement Learning Agents with Surrogate Models
Matteo Biagiola
Paolo Tonella
41
19
0
22 May 2023
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement
  Learning
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning
Xinyue Chen
Zijian Zhou
Zhilin Wang
Che Wang
Yanqiu Wu
Keith Ross
OffRL
17
120
0
27 Oct 2019
1