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Dreaming: Model-based Reinforcement Learning by Latent Imagination
  without Reconstruction

Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction

29 July 2020
Masashi Okada
T. Taniguchi
    OffRL
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Papers citing "Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction"

20 / 20 papers shown
Title
Task Aware Dreamer for Task Generalization in Reinforcement Learning
Task Aware Dreamer for Task Generalization in Reinforcement Learning
Chengyang Ying
Zhongkai Hao
Xinning Zhou
Hang Su
Songming Liu
Dong Yan
Jun Zhu
64
3
0
17 Feb 2025
Bridging State and History Representations: Understanding
  Self-Predictive RL
Bridging State and History Representations: Understanding Self-Predictive RL
Tianwei Ni
Benjamin Eysenbach
Erfan Seyedsalehi
Michel Ma
Clement Gehring
Aditya Mahajan
Pierre-Luc Bacon
AI4TS
AI4CE
22
20
0
17 Jan 2024
Hieros: Hierarchical Imagination on Structured State Space Sequence
  World Models
Hieros: Hierarchical Imagination on Structured State Space Sequence World Models
Paul Mattes
Rainer Schlosser
R. Herbrich
21
4
0
08 Oct 2023
Simplified Temporal Consistency Reinforcement Learning
Simplified Temporal Consistency Reinforcement Learning
Yi Zhao
Wenshuai Zhao
Rinu Boney
Juho Kannala
J. Pajarinen
OffRL
30
12
0
15 Jun 2023
Pre-training Contextualized World Models with In-the-wild Videos for
  Reinforcement Learning
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning
Jialong Wu
Haoyu Ma
Chao Deng
Mingsheng Long
OffRL
28
24
0
29 May 2023
Mastering Strategy Card Game (Legends of Code and Magic) via End-to-End
  Policy and Optimistic Smooth Fictitious Play
Mastering Strategy Card Game (Legends of Code and Magic) via End-to-End Policy and Optimistic Smooth Fictitious Play
Wei Xi
Yongxin Zhang
Changnan Xiao
Xuefeng Huang
Shihong Deng
Haowei Liang
Jie Chen
Peng Sun
OffRL
42
8
0
07 Mar 2023
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline
  Reinforcement Learning
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning
Daesol Cho
D. Shim
H. J. Kim
OffRL
42
11
0
30 Sep 2022
Augmenting Reinforcement Learning with Transformer-based Scene
  Representation Learning for Decision-making of Autonomous Driving
Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving
Haochen Liu
Zhiyu Huang
Xiaoyu Mo
Chen Lv
ViT
OffRL
30
33
0
24 Aug 2022
Sparse Representation Learning with Modified q-VAE towards Minimal
  Realization of World Model
Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model
Taisuke Kobayashi
Ryoma Watanuki
DRL
21
6
0
08 Aug 2022
Time to augment self-supervised visual representation learning
Time to augment self-supervised visual representation learning
A. Aubret
M. Ernst
Céline Teulière
Jochen Triesch
31
10
0
27 Jul 2022
Masked World Models for Visual Control
Masked World Models for Visual Control
Younggyo Seo
Danijar Hafner
Hao Liu
Fangchen Liu
Stephen James
Kimin Lee
Pieter Abbeel
OffRL
84
145
0
28 Jun 2022
DayDreamer: World Models for Physical Robot Learning
DayDreamer: World Models for Physical Robot Learning
Philipp Wu
Alejandro Escontrela
Danijar Hafner
Ken Goldberg
Pieter Abbeel
47
276
0
28 Jun 2022
Flow-based Recurrent Belief State Learning for POMDPs
Flow-based Recurrent Belief State Learning for POMDPs
Xiaoyu Chen
Yao Mu
Ping Luo
Sheng Li
Jianyu Chen
43
18
0
23 May 2022
Towards biologically plausible Dreaming and Planning in recurrent
  spiking networks
Towards biologically plausible Dreaming and Planning in recurrent spiking networks
C. Capone
P. Paolucci
CLL
23
7
0
20 May 2022
Multi-View Dreaming: Multi-View World Model with Contrastive Learning
Multi-View Dreaming: Multi-View World Model with Contrastive Learning
Akira Kinose
Masashi Okada
Ryogo Okumura
T. Taniguchi
OffRL
13
10
0
15 Mar 2022
DreamingV2: Reinforcement Learning with Discrete World Models without
  Reconstruction
DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction
Masashi Okada
T. Taniguchi
3DV
OffRL
28
22
0
01 Mar 2022
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with
  Prototypical Representations
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations
Fei Deng
Ingook Jang
Sungjin Ahn
VLM
29
62
0
27 Oct 2021
Planning from Pixels in Environments with Combinatorially Hard Search
  Spaces
Planning from Pixels in Environments with Combinatorially Hard Search Spaces
Marco Bagatella
Miroslav Olsák
Michal Rolínek
Georg Martius
OffRL
21
6
0
12 Oct 2021
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive
  Architectures for Developmental Robots
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive Architectures for Developmental Robots
T. Taniguchi
Hiroshi Yamakawa
Takayuki Nagai
Kenji Doya
M. Sakagami
Masahiro Suzuki
Tomoaki Nakamura
Akira Taniguchi
25
23
0
15 Mar 2021
Deep Dynamics Models for Learning Dexterous Manipulation
Deep Dynamics Models for Learning Dexterous Manipulation
Anusha Nagabandi
K. Konolige
Sergey Levine
Vikash Kumar
148
408
0
25 Sep 2019
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