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Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate

Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate

Fan Luo
Zuolin Tu
Zefang Huang
Yang Yu
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Papers citing "Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate"

4 / 4 papers shown
Title
Structured State Space Models for In-Context Reinforcement Learning
Structured State Space Models for In-Context Reinforcement Learning
Chris Xiaoxuan Lu
Yannick Schroecker
Albert Gu
Emilio Parisotto
Jakob N. Foerster
Satinder Singh
Feryal M. P. Behbahani
AI4TS
84
80
0
07 Mar 2023
Partially Observable Markov Decision Processes in Robotics: A Survey
Partially Observable Markov Decision Processes in Robotics: A Survey
M. Lauri
David Hsu
J. Pajarinen
51
92
0
21 Sep 2022
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
N. Rudin
David Hoeller
Philipp Reist
Marco Hutter
108
535
0
24 Sep 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,568
0
09 Mar 2017