Mastering Memory Tasks with World Models

Mastering Memory Tasks with World Models

7 March 2024

Mohammad Reza Samsami

Janarthanan Rajendran

Papers citing "Mastering Memory Tasks with World Models"

9 / 9 papers shown

Title
Rethinking Memory in AI: Taxonomy, Operations, Topics, and Future Directions Yiming Du Wenyu Huang Danna Zheng Zhaowei Wang Sébastien Montella Mirella Lapata Kam-Fai Wong Jeff Z. Pan KELM MU 80 2 0 01 May 2025
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters 78 1 0 20 Feb 2025
Episodic memory in AI agents poses risks that should be studied and mitigated Chad DeChant 67 2 0 20 Jan 2025
FACTS: A Factored State-Space Framework For World Modelling Li Nanbo Firas Laakom Yucheng Xu Wenyi Wang Jürgen Schmidhuber AI4TS 151 0 0 28 Oct 2024
Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient Wenlong Wang Ivana Dusparic Yucheng Shi Ke Zhang Vinny Cahill Mamba 149 0 0 11 Oct 2024
Open-World Reinforcement Learning over Long Short-Term Imagination Jiajian Li Q. Wang Yunbo Wang Xin Jin Yang Li Wenjun Zeng Xiaokang Yang OCL VLM 56 1 0 04 Oct 2024
UniZero: Generalized and Efficient Planning with Scalable Latent World Models Yuan Pu Yazhe Niu Jiyuan Ren Zhenjie Yang Hongsheng Li Yu Liu OffRL 49 1 0 15 Jun 2024
Structured State Space Models for In-Context Reinforcement Learning Chris Xiaoxuan Lu Yannick Schroecker Albert Gu Emilio Parisotto Jakob N. Foerster Satinder Singh Feryal M. P. Behbahani AI4TS 97 82 0 07 Mar 2023
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 285 2,015 0 28 Jul 2020