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IMPACT: Importance Weighted Asynchronous Architectures with Clipped
  Target Networks

IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks

30 November 2019
Michael Luo
Jiahao Yao
Richard Liaw
Eric Liang
Ion Stoica
ArXivPDFHTML

Papers citing "IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks"

4 / 4 papers shown
Title
DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents
DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents
Taiyi Wang
Zhihao Wu
Jianheng Liu
Jianye Hao
Jun Wang
Kun Shao
OffRL
44
14
0
24 Feb 2025
Efficient Transformers in Reinforcement Learning using Actor-Learner
  Distillation
Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation
Emilio Parisotto
Ruslan Salakhutdinov
42
44
0
04 Apr 2021
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
Eric Liang
Zhanghao Wu
Michael Luo
Sven Mika
Joseph E. Gonzalez
Ion Stoica
AI4CE
23
9
0
25 Nov 2020
PNS: Population-Guided Novelty Search for Reinforcement Learning in Hard
  Exploration Environments
PNS: Population-Guided Novelty Search for Reinforcement Learning in Hard Exploration Environments
Qihao Liu
Yujia Wang
Xiao-Fei Liu
25
8
0
26 Nov 2018
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