Variational Recurrent Models for Solving Partially Observable Control
Tasks

Variational Recurrent Models for Solving Partially Observable Control Tasks

23 December 2019

Dongqi Han

Papers citing "Variational Recurrent Models for Solving Partially Observable Control Tasks"

10 / 10 papers shown

Title
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow Tonghan Wang Heng Dong Yanchen Jiang David C. Parkes Milind Tambe DiffM 44 2 0 17 Oct 2024
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate Fan Luo Zuolin Tu Zefang Huang Yang Yu OffRL 34 0 0 24 May 2024
GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL Lang Qin Ziming Wang Runhao Jiang Rui Yan Huajin Tang 36 0 0 24 Apr 2024
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
Seq2Seq Imitation Learning for Tactile Feedback-based Manipulation Wenyan Yang A. Angleraud R. Pieters J. Pajarinen Joni-Kristian Kämäräinen 32 6 0 05 Mar 2023
Flow-based Recurrent Belief State Learning for POMDPs Xiaoyu Chen Yao Mu Ping Luo Sheng Li Jianyu Chen 43 18 0 23 May 2022
Hierarchical Reinforcement Learning under Mixed Observability Hai V. Nguyen Zhihan Yang Andrea Baisero Xiao Ma Robert W. Platt Chris Amato 14 4 0 02 Apr 2022
DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction Masashi Okada T. Taniguchi 3DV OffRL 28 22 0 01 Mar 2022
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
Hierarchical and Partially Observable Goal-driven Policy Learning with Goals Relational Graph Xin Ye Yezhou Yang 27 22 0 01 Mar 2021