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Structured State Space Models for In-Context Reinforcement Learning

Structured State Space Models for In-Context Reinforcement Learning

7 March 2023
Chris Xiaoxuan Lu
Yannick Schroecker
Albert Gu
Emilio Parisotto
Jakob N. Foerster
Satinder Singh
Feryal M. P. Behbahani
    AI4TS
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Papers citing "Structured State Space Models for In-Context Reinforcement Learning"

19 / 19 papers shown
Title
Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination
Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination
Qi Bi
Jingjun Yi
Haolan Zhan
Wei Ji
Gui-Song Xia
46
1
0
10 Apr 2025
MambaPlace:Text-to-Point-Cloud Cross-Modal Place Recognition with Attention Mamba Mechanisms
MambaPlace:Text-to-Point-Cloud Cross-Modal Place Recognition with Attention Mamba Mechanisms
Tianyi Shang
Zhenyu Li
Wenhao Pei
Pengjie Xu
Mamba
78
0
0
24 Feb 2025
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability
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
From Markov to Laplace: How Mamba In-Context Learns Markov Chains
From Markov to Laplace: How Mamba In-Context Learns Markov Chains
Marco Bondaschi
Nived Rajaraman
Xiuying Wei
Kannan Ramchandran
Razvan Pascanu
Çağlar Gülçehre
Michael C. Gastpar
Ashok Vardhan Makkuva
63
0
0
17 Feb 2025
SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation
SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation
Haohao Qu
Yifeng Zhang
Liangbo Ning
Wenqi Fan
Qing Li
Mamba
94
7
0
17 Jan 2025
In-context learning and Occam's razor
In-context learning and Occam's razor
Eric Elmoznino
Tom Marty
Tejas Kasetty
Léo Gagnon
Sarthak Mittal
Mahan Fathi
Dhanya Sridhar
Guillaume Lajoie
36
1
0
17 Oct 2024
Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient
Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient
Wenlong Wang
Ivana Dusparic
Yucheng Shi
Ke Zhang
V. Cahill
Mamba
131
0
0
11 Oct 2024
Reinforcement Learning for Sustainable Energy: A Survey
Reinforcement Learning for Sustainable Energy: A Survey
Koen Ponse
Felix Kleuker
Márton Fejér
Álvaro Serra-Gómez
Aske Plaat
Thomas M. Moerland
OffRL
AI4CE
40
1
0
26 Jul 2024
The Overcooked Generalisation Challenge
The Overcooked Generalisation Challenge
Constantin Ruhdorfer
Matteo Bortoletto
Anna Penzkofer
Andreas Bulling
46
4
0
25 Jun 2024
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning
Alexander Nikulin
Ilya Zisman
Alexey Zemtsov
Viacheslav Sinii
105
4
0
13 Jun 2024
MambaLRP: Explaining Selective State Space Sequence Models
MambaLRP: Explaining Selective State Space Sequence Models
F. Jafari
G. Montavon
Klaus-Robert Müller
Oliver Eberle
Mamba
59
9
0
11 Jun 2024
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning
Subhojyoti Mukherjee
Josiah P. Hanna
Qiaomin Xie
Robert Nowak
69
2
0
07 Jun 2024
Understanding the differences in Foundation Models: Attention, State
  Space Models, and Recurrent Neural Networks
Understanding the differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks
Jerome Sieber
Carmen Amo Alonso
A. Didier
M. Zeilinger
Antonio Orvieto
AAML
44
8
0
24 May 2024
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific
  Learning Rate
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
Theoretical Foundations of Deep Selective State-Space Models
Theoretical Foundations of Deep Selective State-Space Models
Nicola Muca Cirone
Antonio Orvieto
Benjamin Walker
C. Salvi
Terry Lyons
Mamba
53
25
0
29 Feb 2024
In-Context Reinforcement Learning for Variable Action Spaces
In-Context Reinforcement Learning for Variable Action Spaces
Viacheslav Sinii
Alexander Nikulin
Vladislav Kurenkov
Ilya Zisman
Sergey Kolesnikov
16
14
0
20 Dec 2023
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
Alexander Nikulin
Vladislav Kurenkov
Ilya Zisman
Artem Agarkov
Viacheslav Sinii
Sergey Kolesnikov
24
24
0
19 Dec 2023
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
Introspective Tips: Large Language Model for In-Context Decision Making
Introspective Tips: Large Language Model for In-Context Decision Making
Liting Chen
Lu Wang
Hang Dong
Yali Du
Jie Yan
...
Pu Zhao
Si Qin
Saravan Rajmohan
Qingwei Lin
Dongmei Zhang
LLMAG
LRM
34
23
0
19 May 2023
1