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Task-Agnostic Dynamics Priors for Deep Reinforcement Learning

Task-Agnostic Dynamics Priors for Deep Reinforcement Learning

13 May 2019
Yilun Du
Karthik Narasimhan
ArXivPDFHTML

Papers citing "Task-Agnostic Dynamics Priors for Deep Reinforcement Learning"

5 / 5 papers shown
Title
Prioritized Generative Replay
Prioritized Generative Replay
Renhao Wang
Kevin Frans
Pieter Abbeel
Sergey Levine
Alexei A. Efros
OnRL
DiffM
114
2
0
23 Oct 2024
Which priors matter? Benchmarking models for learning latent dynamics
Which priors matter? Benchmarking models for learning latent dynamics
Aleksandar Botev
Andrew Jaegle
Peter Wirnsberger
Daniel Hennes
I. Higgins
AI4CE
14
28
0
09 Nov 2021
Model-Augmented Actor-Critic: Backpropagating through Paths
Model-Augmented Actor-Critic: Backpropagating through Paths
I. Clavera
Yao Fu
Pieter Abbeel
22
86
0
16 May 2020
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
278
1,400
0
01 Dec 2016
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
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