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One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient
  Reinforcement Learning

One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning

30 October 2021
Matthew Macfarlane
Paul Caron
Thomas D. Barrett
Ian Davies
Alexandre Laterre
ArXiv (abs)PDFHTML

Papers citing "One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning"

4 / 4 papers shown
Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer
  Value Function
Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function
Matthew Macfarlane
Laurence Midgley
Alexandre Laterre
208
0
0
19 Nov 2022
AlphaSnake: Policy Iteration on a Nondeterministic NP-hard Markov
  Decision Process
AlphaSnake: Policy Iteration on a Nondeterministic NP-hard Markov Decision ProcessAAAI Conference on Artificial Intelligence (AAAI), 2022
Kevin Du
I. Gemp
Yi Wu
Yingying Wu
136
0
0
17 Nov 2022
An Investigation of the Bias-Variance Tradeoff in Meta-Gradients
An Investigation of the Bias-Variance Tradeoff in Meta-Gradients
Risto Vuorio
Jacob Beck
Shimon Whiteson
Jakob N. Foerster
Gregory Farquhar
206
7
0
22 Sep 2022
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement
  Learning
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2021
Xidong Feng
Bo Liu
Jie Ren
Luo Mai
Rui Zhu
Haifeng Zhang
Jun Wang
Yaodong Yang
279
12
0
31 Dec 2021
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