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2003.00370
Cited By
PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
1 March 2020
Masashi Okada
Norio Kosaka
T. Taniguchi
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Papers citing
"PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference"
28 / 28 papers shown
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
Chengmin Zhou
Ville Kyrki
Pasi Fränti
Laura Ruotsalainen
BDL
AI4CE
527
1
0
12 May 2025
Design of Restricted Normalizing Flow towards Arbitrary Stochastic Policy with Computational Efficiency
Taisuke Kobayashi
Takumi Aotani
402
6
0
17 Dec 2024
A Contact Model based on Denoising Diffusion to Learn Variable Impedance Control for Contact-rich Manipulation
Masashi Okada
Mayumi Komatsu
Tadahiro Taniguchi
DiffM
258
3
0
20 Mar 2024
Toward Open-ended Embodied Tasks Solving
William Wei Wang
Dongqi Han
Xufang Luo
Yifei Shen
Charles Ling
Boyu Wang
Dongsheng Li
AI4CE
253
5
0
10 Dec 2023
Go Beyond Imagination: Maximizing Episodic Reachability with World Models
International Conference on Machine Learning (ICML), 2023
Yao Fu
Run Peng
Honglak Lee
219
1
0
25 Aug 2023
World-Model-Based Control for Industrial box-packing of Multiple Objects using NewtonianVAE
Yusuke Kato
Ryogo Okumura
T. Taniguchi
DRL
294
1
0
04 Aug 2023
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review
Chengmin Zhou
Chao Wang
Haseeb Hassan
H. Shah
Bingding Huang
Pasi Fränti
3DV
329
3
0
16 Jul 2023
Online Re-Planning and Adaptive Parameter Update for Multi-Agent Path Finding with Stochastic Travel Times
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Atsuyoshi Kita
Nobuhiro Suenari
Masashi Okada
T. Taniguchi
195
2
0
03 Feb 2023
World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges
T. Taniguchi
Shingo Murata
Masahiro Suzuki
D. Ognibene
Pablo Lanillos
...
L. Jamone
Tomoaki Nakamura
Alejandra Ciria
B. Lara
G. Pezzulo
338
81
0
14 Jan 2023
Reward Bonuses with Gain Scheduling Inspired by Iterative Deepening Search
Results in Control and Optimization (RCO), 2022
Taisuke Kobayashi
230
4
0
21 Dec 2022
Active Exploration based on Information Gain by Particle Filter for Efficient Spatial Concept Formation
Akira Taniguchi
Y. Tabuchi
Tomochika Ishikawa
Lotfi El Hafi
Y. Hagiwara
T. Taniguchi
463
8
0
20 Nov 2022
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning
P. Becker
Gerhard Neumann
223
10
0
17 Oct 2022
Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model
Zeyu Gao
Yao Mu
Chen Chen
Yangang Ren
Shengbo Eben Li
Ping Luo
Yanfeng Lu
295
58
0
08 Oct 2022
Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model
Taisuke Kobayashi
Ryoma Watanuki
DRL
323
7
0
08 Aug 2022
Emergent Communication through Metropolis-Hastings Naming Game with Deep Generative Models
T. Taniguchi
Yuto Yoshida
Akira Taniguchi
Y. Hagiwara
MLLM
333
29
0
24 May 2022
Flow-based Recurrent Belief State Learning for POMDPs
International Conference on Machine Learning (ICML), 2022
Xiaoyu Chen
Yao Mu
Ping Luo
Sheng Li
Jianyu Chen
204
25
0
23 May 2022
Representation Uncertainty in Self-Supervised Learning as Variational Inference
IEEE International Conference on Computer Vision (ICCV), 2022
Hiroki Nakamura
Masashi Okada
T. Taniguchi
288
26
0
22 Mar 2022
Multi-View Dreaming: Multi-View World Model with Contrastive Learning
Akira Kinose
Masashi Okada
Ryogo Okumura
T. Taniguchi
OffRL
178
10
0
15 Mar 2022
Tactile-Sensitive NewtonianVAE for High-Accuracy Industrial Connector Insertion
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Ryogo Okumura
Nobuki Nishio
T. Taniguchi
329
12
0
10 Mar 2022
DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Masashi Okada
T. Taniguchi
3DV
OffRL
302
42
0
01 Mar 2022
Predictive Control Using Learned State Space Models via Rolling Horizon Evolution
Alvaro Ovalle
Simon Lucas
155
0
0
25 Jun 2021
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive Architectures for Developmental Robots
Neural Networks (NN), 2021
T. Taniguchi
Hiroshi Yamakawa
Takayuki Nagai
Kenji Doya
M. Sakagami
Masahiro Suzuki
Tomoaki Nakamura
Akira Taniguchi
323
30
0
15 Mar 2021
Action and Perception as Divergence Minimization
Danijar Hafner
Pedro A. Ortega
Jimmy Ba
Thomas Parr
Karl J. Friston
N. Heess
340
60
0
03 Sep 2020
Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction
IEEE International Conference on Robotics and Automation (ICRA), 2020
Masashi Okada
T. Taniguchi
OffRL
411
98
0
29 Jul 2020
Reinforcement Learning as Iterative and Amortised Inference
Beren Millidge
Alexander Tschantz
A. Seth
Christopher L. Buckley
OffRL
265
3
0
13 Jun 2020
A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments
Sindhu Padakandla
276
217
0
19 May 2020
Domain-Adversarial and Conditional State Space Model for Imitation Learning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Ryogo Okumura
Masashi Okada
T. Taniguchi
230
12
0
31 Jan 2020
Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning
Jianyu Chen
Shengbo Eben Li
Masayoshi Tomizuka
373
317
0
23 Jan 2020
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