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Flow-based Recurrent Belief State Learning for POMDPs

Flow-based Recurrent Belief State Learning for POMDPs

23 May 2022
Xiaoyu Chen
Yao Mu
Ping Luo
Sheng Li
Jianyu Chen
ArXivPDFHTML

Papers citing "Flow-based Recurrent Belief State Learning for POMDPs"

11 / 11 papers shown
Title
How to Build a Pre-trained Multimodal model for Simultaneously Chatting
  and Decision-making?
How to Build a Pre-trained Multimodal model for Simultaneously Chatting and Decision-making?
Zuojin Tang
Bin-Bin Hu
Chenyang Zhao
De Ma
Gang Pan
Bin Liu
35
0
0
21 Oct 2024
DAG-Plan: Generating Directed Acyclic Dependency Graphs for Dual-Arm Cooperative Planning
DAG-Plan: Generating Directed Acyclic Dependency Graphs for Dual-Arm Cooperative Planning
Zeyu Gao
Yao Mu
Jinye Qu
Mengkang Hu
Lingyue Guo
Ping Luo
Yanfeng Lu
Ping Luo
Shanghang Zhang
Yanfeng Lu
59
10
0
14 Jun 2024
Belief-Enriched Pessimistic Q-Learning against Adversarial State
  Perturbations
Belief-Enriched Pessimistic Q-Learning against Adversarial State Perturbations
Xiaolin Sun
Zizhan Zheng
OnRL
40
1
0
06 Mar 2024
Efficient and Generalized end-to-end Autonomous Driving System with
  Latent Deep Reinforcement Learning and Demonstrations
Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations
Zuojin Tang
Xiaoyu Chen
YongQiang Li
Jianyu Chen
31
2
0
22 Jan 2024
BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned
  Approximations
BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations
Robert J. Moss
Anthony Corso
J. Caers
Mykel J. Kochenderfer
28
7
0
31 May 2023
Statistically Efficient Bayesian Sequential Experiment Design via
  Reinforcement Learning with Cross-Entropy Estimators
Statistically Efficient Bayesian Sequential Experiment Design via Reinforcement Learning with Cross-Entropy Estimators
Tom Blau
Iadine Chadès
Amir Dezfouli
Daniel M. Steinberg
Edwin V. Bonilla
23
1
0
29 May 2023
The Wasserstein Believer: Learning Belief Updates for Partially
  Observable Environments through Reliable Latent Space Models
The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models
Raphael Avalos
Florent Delgrange
Ann Nowé
Guillermo A. Pérez
D. Roijers
44
2
0
06 Mar 2023
Latent State Marginalization as a Low-cost Approach for Improving
  Exploration
Latent State Marginalization as a Low-cost Approach for Improving Exploration
Dinghuai Zhang
Aaron Courville
Yoshua Bengio
Qinqing Zheng
Amy Zhang
Ricky T. Q. Chen
OOD
47
9
0
03 Oct 2022
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with
  Multi-choice Dynamics Model
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model
Yifu Yuan
Jianye Hao
Fei Ni
Yao Mu
Yan Zheng
Yujing Hu
Jinyi Liu
Yingfeng Chen
Changjie Fan
88
12
0
02 Oct 2022
CtrlFormer: Learning Transferable State Representation for Visual
  Control via Transformer
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer
Yao Mu
Shoufa Chen
Mingyu Ding
Jianyu Chen
Runjian Chen
Ping Luo
ViT
38
9
0
17 Jun 2022
Bridging Imagination and Reality for Model-Based Deep Reinforcement
  Learning
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning
Guangxiang Zhu
Minghao Zhang
Honglak Lee
Chongjie Zhang
OffRL
76
17
0
23 Oct 2020
1